Sage Journals: Discover world-class research

Retricted access

Research article

First published 2026-2

TL-TransUNet: An Improved Lightweight Semantic Segmentation Model of Macular Edema Lesions in Retinal OCT Images

Zhijun Gao, Yishuai Yang, Jinhuan Wang [...]

Big Data

Open access

Research article

First published 2025

MDA-TransUNet: A Deep Learning-Based Automatic Segmentation Method for Cervical Cancer Brachytherapy

Dezheng Cao, Jianhua Jin, Jihua Han [...]

Technology in Cancer Research & Treatment

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Research article

First published 2024-12-23

ACU-TransNet: Attention and convolution-augmented UNet-transformer network for polyp segmentation

Lei Huang, Yun Wu

Journal of X-Ray Science and Technology

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Research article

First published 2025-5

BCD-TransNet: Automatic breast cancer detection and classification using transfer learning approach

Amanullakhan M, Sridhar P, Indra J [...]

Technology and Health Care

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Research article

First published 2025-6

Enhanced Crack Segmentation Using Meta’s Segment Anything Model with Low-Cost Ground Truths and Multimodal Prompts

Tanner Wambui Muturi, Yaw Adu-Gyamfi

Transportation Research Record: Journal of the Transportation Research Board

Open access

Research article

First published 2023

AES-CSFS: an automatic evaluation system for corneal sodium fluorescein staining based on deep learning

Shaopan Wang, Jiezhou He, Xin He [...]

Sage Open Chronic Disease

Retricted access

Research article

First published 2025

MedSegLLM: Language-driven medical image segmentation via cross-modal alignment

Ziming Wu, Yuhan Chen, Yaoxuan Liang [...]

Journal of Computational Methods in Sciences and Engineering

Search results

TL-TransUNet: An Improved Lightweight Semantic Segmentation Model of Macular Edema Lesions in Retinal OCT Images

MDA-TransUNet: A Deep Learning-Based Automatic Segmentation Method for Cervical Cancer Brachytherapy

ACU-TransNet: Attention and convolution-augmented UNet-transformer network for polyp segmentation

BCD-TransNet: Automatic breast cancer detection and classification using transfer learning approach

Enhanced Crack Segmentation Using Meta’s Segment Anything Model with Low-Cost Ground Truths and Multimodal Prompts

AES-CSFS: an automatic evaluation system for corneal sodium fluorescein staining based on deep learning

MedSegLLM: Language-driven medical image segmentation via cross-modal alignment