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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Medical image segmentatio" (30 stories)

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SwiftMSeg: lightweight multi-scale local–global context modeling with transformer for medical image segmentation
Lead StoryNaturegeneral
Jun 7

SwiftMSeg: lightweight multi-scale local–global context modeling with transformer for medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Ldmt2SUxWd1IxUmFpOGNxTVVnSVYydmhDcHJ0U1pqVS15cHBiTUxSN0hVM3M2T05jRnpaU2hweGxCSlNXZnBnYVdmbjBGQVZ2UklGQjl4bnlBbkViZ0xv?oc=5" target="_blank">SwiftMSeg: lightweight multi-scale local–global context modeling with transformer for medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Medical image segmentatio"

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29 stories displayed
Self-distillation double student network for semi-supervised medical image segmentation
Frontiersgeneral

Self-distillation double student network for semi-supervised medical image segmentation

<a href="https://news.google.com/rss/articles/CBMikgFBVV95cUxPZWI3R0tGWkF5cEVjbWhfdTA3azVuOG9STjNuTkQ0V252d1FXeVlSNFFzblRUTk5EZHRGTHNKUjVidjFOMzAtd1BhaUcxcWt2UXV0X2MxcVFwT0kxeWhHWUJiOFhPNkE3YVJaZEVKNHdoS1BKaWxQX0doZWIyTUJxdWNSSnBTYTlsc0w0MU9kUndLdw?oc=5" target="_blank">Self-distillation double student network for semi-supervised medical image segmentation</a>  <font color="#6f6f6f">Frontiers</font>

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MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
The Association for the Advancement of Artificial Intelligencetech

MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5HWC0xTkpzRFBDX293YTRBR0VibEJ6ZkZDVEhJeldwX04wSTM4OGZabTdFd0ZBTVpnRzFCeXlhV2prblc2b0dzb2xUcXRJSHZhb0R1ck9SM3dmYy1WUG9NZXdzbzM?oc=5" target="_blank">MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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New V-UNet model improves efficient medical image segmentation
News-Medicalworld

New V-UNet model improves efficient medical image segmentation

<a href="https://news.google.com/rss/articles/CBMirwFBVV95cUxNVGtVMUVfRXR3ZVlGNHRxTzlqRVVXRFBDenptZG1jNXc2anI0STlLdnI1Vm1WbkstN3c0TGdOV2JXSU81TnIwN201MDhid0xRZHo1Ry1wRXZ2WjlIWDU5RFZ2WFFFcE9nR204TXhXa3NobXNKWVgzMkZFTUdBb0xLRTRSUFZFREZmQ2hrVV9iYTctSEJ3WGlTSWN4UjhjSnQwMlZKaG1rcTlhOUZUWmc0?oc=5" target="_blank">New V-UNet model improves efficient medical image segmentation</a>  <font color="#6f6f6f">News-Medical</font>

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Higher precision in medical image segmentation by combining global and local information
EurekAlert!general

Higher precision in medical image segmentation by combining global and local information

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE1RanVvRmZNSWZ1Y3VNZzBnTENhdmJ4RVE0c1ZqU1dLR2VKT0owd2M3QWRrV05qS0wycklMRTFkX3NvdlB5Q1JOOHk5QjkyQ0xmTzN0RUR0SVNlY1Q0?oc=5" target="_blank">Higher precision in medical image segmentation by combining global and local information</a>  <font color="#6f6f6f">EurekAlert!</font>

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CFG-MambaNet: Contextual and Frequency-Guided Mamba Network for medical image segmentation
Naturegeneral

CFG-MambaNet: Contextual and Frequency-Guided Mamba Network for medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE14dkxwTVZXcGRJMUdWV3BnTEpBVU1hY3AtSmctUlpDMWw2ZFM1QUhSR1lLRlJ1OGdSSXBZUDNUTm5HT3E1em13alktMFV0ZmM4T3cwbnR6OVkyUzN0MWo4?oc=5" target="_blank">CFG-MambaNet: Contextual and Frequency-Guided Mamba Network for medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits?
The Association for the Advancement of Artificial Intelligencegeneral

Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits?

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9tS3A1NDhxWGo3UTgyY2pYSUFPSDJmbE4wWDVEdk5kb21aSlJFS2lhckxmWm42YXhuYzFUcGJ3OTRqRGk1amxJWDB2YlB0Y3NOdzRjMW1NTkhNR0FmRE5ad1psMkI?oc=5" target="_blank">Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits?</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network
Naturegeneral

Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE43Q2F1cTNJUGlnNmRmcGtNYk9KbGJyQ2dVd2QzQUxKN2tIaTZ1aXdYX3VZN2hheG1UV0hDclI3WW1nZWhoV0FxV2o0WTVobEYwaHBfSUR3MHkydHRZdlVV?oc=5" target="_blank">Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network</a>  <font color="#6f6f6f">Nature</font>

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Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
The Association for the Advancement of Artificial Intelligencegeneral

Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5LeUNOQmtFN1NWa0hGSnAxVURDcnByMUo0Q3FXa0Y3NHB3NllyM01zUmtJMzc4bi01VS1Ba3E0RnR1SnhBMW9teWlUWHBQSTdNZjFCUTUxX0dwbzZ0dGFXekxHZHY?oc=5" target="_blank">Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Optimizing lung cancer diagnosis using improved fungal growth optimizer-based medical image segmentation
Natureworld

Optimizing lung cancer diagnosis using improved fungal growth optimizer-based medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1sWXVrT3dFWVBHdWg5ZUg1VFBhZEsyNTdqS1JKaEc2d1FKaHNyNEdvRTNCNUp0RHJWZlBoTElJaFVsbEs3RnFLamlwdnNiTThWQkVERDlzZHBDSTBfWUZj?oc=5" target="_blank">Optimizing lung cancer diagnosis using improved fungal growth optimizer-based medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation
The Association for the Advancement of Artificial Intelligenceworld

CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE1HUjduMGwzN3ROeHlpaWc5MF9TUlc5N2ZXTXBVTkVmOG9DcXBMdnJKQVZtVjU2aXU1eFZPMU1iZjJSMjExdnYwTWkwTnlsc0czWGtzd25RZnd6UVRYbWNUeHNzQzU?oc=5" target="_blank">CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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A parallel UNet integrating KAN and mamba for medical image segmentation
Natureworld

A parallel UNet integrating KAN and mamba for medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5Fc1NEeFg3SW9sZW91dVZtOWdKaTVZdjVJaGJ5UUF5eVZyai1NNHZrMDJkVXBJdXh1OG9UTG1xeENhZ0lTbnp5MTFfX1FrZ1dIcGFCVU5QQkF5ZmZsYU40?oc=5" target="_blank">A parallel UNet integrating KAN and mamba for medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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VGD: Value-Guided Diffusion Toward High-Utility Medical Image Segmentation
The Association for the Advancement of Artificial Intelligencegeneral

VGD: Value-Guided Diffusion Toward High-Utility Medical Image Segmentation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBlU084UGRJNzNZaWh6dG9yaXBTb2YwcGJnN3VMdFJaRWNCWnl4RTRkRnZpaFZudmNjMk0tN0l2YUYybW1GbWRCRnlvN3VnVkpwZWZlbHVaTVRZSnYxeHZoOEVwT2s?oc=5" target="_blank">VGD: Value-Guided Diffusion Toward High-Utility Medical Image Segmentation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Segment anything model guided dual-mask framework for anatomically faithful medical image translation
Naturetech

Segment anything model guided dual-mask framework for anatomically faithful medical image translation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1MdU9uaUJKNFRLWEZzajJCeDJoQXo4MzQ0enFoY1NiVnhiN05vWTJQTlpJblphekI4OHVRVVBvaUVNMnJhQllnUlcxRzJ5QWRhelJueUZHc3F5dVRLYjBn?oc=5" target="_blank">Segment anything model guided dual-mask framework for anatomically faithful medical image translation</a>  <font color="#6f6f6f">Nature</font>

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Dual-stage 3D medical image segmentation integrating learnable prompt generation and memory attention
Naturegeneral

Dual-stage 3D medical image segmentation integrating learnable prompt generation and memory attention

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Tai1tN1NJTGQ2OFlfSVliREIyczdUNGVqQ3NPM25xc2tXdGQ4RmpwRnRBV1F4WjZqZWU3VEJvbmFlUGV3NTdaX21yZUpvSjNZcHh4MUFrUFotblhzSnlZ?oc=5" target="_blank">Dual-stage 3D medical image segmentation integrating learnable prompt generation and memory attention</a>  <font color="#6f6f6f">Nature</font>

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Review of image segmentation techniques for biomedical micro-CT: from laboratory absorption imaging to synchrotron phase-contrast
Naturetech

Review of image segmentation techniques for biomedical micro-CT: from laboratory absorption imaging to synchrotron phase-contrast

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Wb0RsY3JBeXN2bnRNQ3lST2xXTXl3WFdkTzhUY1VlcVFhMGNlLURCMzhwVVlRSFl2VUhhS0ltLVpkd0V5VDRDbUNFU2pibVdlNWRoOFFCMEgxSTNUQ2M4?oc=5" target="_blank">Review of image segmentation techniques for biomedical micro-CT: from laboratory absorption imaging to synchrotron phase-contrast</a>  <font color="#6f6f6f">Nature</font>

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MuGu:mutual guidance learning between pretrained SAM and lightweight model for medical image segmentation
Naturetech

MuGu:mutual guidance learning between pretrained SAM and lightweight model for medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5oQVVVRlNjLTdFQUJIR05HRFJ4UHRNbmVwWHVDZDNILVQ0U1ljc0o5b3JPdENnQmRoYTFERnhtTDlHVmduMFMzN3FlMUdMdWw1RkRMcEVzNTA4QmF6RE9j?oc=5" target="_blank">MuGu:mutual guidance learning between pretrained SAM and lightweight model for medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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Boundary-enhanced sparse transformer for generalizable and accurate medical image segmentation
Natureworld

Boundary-enhanced sparse transformer for generalizable and accurate medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBka2NzLTJxRmx4QkFzOGc5UHpoaWlhSnViWjFSeGp5WS14NXN0Tmo4TDF4eTNoZzNMM19fUUNIbDlJaW9aaTVCdXo0NHF6OG1RYi15ckJiSHBlX1F6OTgw?oc=5" target="_blank">Boundary-enhanced sparse transformer for generalizable and accurate medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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A multi-dimensional lightweight attention-enhanced model for medical image segmentation
Naturegeneral

A multi-dimensional lightweight attention-enhanced model for medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBZM3UxbE9JdVowUzlZQndjR0tyMWR2ZzVkdi1jeHNLci12SWJEMnU0aTE0M1RKX1ZKb2RxNENmbUlZOC1SYUllVVFGSkVoeFNDXy1xTS1iWWRkSXJIS1Jj?oc=5" target="_blank">A multi-dimensional lightweight attention-enhanced model for medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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A frequency-spatial dual perception network for efficient and accurate medical image segmentation
Naturegeneral

A frequency-spatial dual perception network for efficient and accurate medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1jeEZfSlZyNnh4enR3TVJybEpFa1Fhd2l1NHVwUHVUcDR3OGpMS3UtcGUwWXNtclc2X05wMGo5bjZJbjJCVWhwTm5JREJPWXc3MmF0Q0R0OE1TSDhNV0tr?oc=5" target="_blank">A frequency-spatial dual perception network for efficient and accurate medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation
The Association for the Advancement of Artificial Intelligencetech

Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9vaEZ2emNzbGNGOG0tUjVrbUxOMk5xY1psV0dYMk1ZaHBHUFA5enUwdEs2VmMta3R2NVZYZFRqeVc5TFJ3cmFJekRxNklwNjNNSHR0b3lfT0pRa044RGxNeDhzeXA?oc=5" target="_blank">Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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DescriptorMedSAM: language-image fusion with multi-aspect text guidance for medical image segmentation
Naturegeneral

DescriptorMedSAM: language-image fusion with multi-aspect text guidance for medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE43bldScmNOVXZSMFdZV1lHZXhveTZhNUdQb2pOV0pNNF9KVHdNMlRSRmpINzBHSXM3U0E1ekFERjdPaXN4bW1fTGIwTDRZNzJ3WTBUTE5fdWJpZWtxSnFz?oc=5" target="_blank">DescriptorMedSAM: language-image fusion with multi-aspect text guidance for medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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A novel hybrid model of simplified and external attention coupled with enhanced CNN for medical image segmentation
Naturegeneral

A novel hybrid model of simplified and external attention coupled with enhanced CNN for medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBlb01TckN2R3VLTGQ2RzVGVnRYb2hKekwzTzVWcHVCamUzdXktcEtXdjdZQmpSX1NpNktBUVpiY2hSSnZJSnUwV3dxQlBJRDVOaWQ3SmwwNERIMVJUSm1B?oc=5" target="_blank">A novel hybrid model of simplified and external attention coupled with enhanced CNN for medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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GoLoCo-Net: global-local guided contextual attention network for medical images segmentation
Naturegeneral

GoLoCo-Net: global-local guided contextual attention network for medical images segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5MQVROZUZMaTBhbFBrSnZjUEw4WkNVaTdOVUl2NHJCOVpGZ1JpVVJBbWEyTzFXUEdQRlBGV0ZTUmRPLVFBaWduZldNLTE2bFVWdDNfRy1EenRyTXAwVzk0?oc=5" target="_blank">GoLoCo-Net: global-local guided contextual attention network for medical images segmentation</a>  <font color="#6f6f6f">Nature</font>

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MedSAM3: Delving into Segment Anything with Medical Concepts
alphaXivgeneral

MedSAM3: Delving into Segment Anything with Medical Concepts

<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE9qNEZZSjVmb3REX1BtWVd4YVFaTTFVWHZTTjNGM2JUSlhlZWZaZ2Uxb21Rdl9lem5WUjYtcVo1ZVJtclpWc0ozaHZ0N29TZFl6?oc=5" target="_blank">MedSAM3: Delving into Segment Anything with Medical Concepts</a>  <font color="#6f6f6f">alphaXiv</font>

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Hybrid intelligence in medical image segmentation
Naturegeneral

Hybrid intelligence in medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBZNVlmTE9OempFNm15Yk9JelJBb1NBcEFfbE81VFBpNGQxcGFRRUhINUMzd3FCVlNRTHJaa1hXR3cxakx4RFB1MUYyaEdGcG82SXFNLW5YZ2hjeVFFbXRR?oc=5" target="_blank">Hybrid intelligence in medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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A progressive fusion network for endoscopic medical image segmentation
Naturegeneral

A progressive fusion network for endoscopic medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE01MzM4Z3VzNFJ4Rld0dnBBMW1GSWhhaTRnanlTT3p6XzlKRTZWZXo3emRqZm1lU1gxa0kyd0Z6QV91T095VmVCWmpEYVNuLXBTVWxmOHViYmJ3LVV5LXhV?oc=5" target="_blank">A progressive fusion network for endoscopic medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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Edge guided bidirectional iterative network in medical image segmentation
Naturegeneral

Edge guided bidirectional iterative network in medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0tZGNqT1FwT2tkaDluclgzRFJ0N3lPbDFmWFlLSFNTZVljQ0VqUmhPZGNmeS1feXFSZVdXbFlIRVR1aEdxSjF2N2xKVXJHajk2ODRpNFBZZnNvT3M1d3Vn?oc=5" target="_blank">Edge guided bidirectional iterative network in medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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ProtoSAM for automated one shot medical image segmentation using foundational models
Natureworld

ProtoSAM for automated one shot medical image segmentation using foundational models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1XUVhYcnJ4X1AzOVJzNTdxMjFPak0xSUtDWl9EWUxuVW5Yd2xTNV9MMDZOWlFjdG5MWGNlcXg4dzV2SEhtWHlfeXNoRnpGWi1yajFIcC1YR0JBaEFzSW4w?oc=5" target="_blank">ProtoSAM for automated one shot medical image segmentation using foundational models</a>  <font color="#6f6f6f">Nature</font>

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Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement
The Association for the Advancement of Artificial Intelligenceworld

Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE52UU1xSExPMTBiWE5sNzV5UVRaRWNjTi1xOXhHZ3UyVmMxc21iZTBTdzhVcVZjdVFlQm5QTTJXVVFMVXRLMVBIWDZsNWZSMk9lN28xNlRMdnA1enh6ZXBQTE1TZ3A?oc=5" target="_blank">Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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"Medical image segmentatio" — Live Google News Trends & Headlines