{"total":14,"rows":[{"id":"2301.13366","title":"CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects","created":"2023-01-31","cited_by_count":43,"area":null},{"id":"2203.15177","title":"Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation","created":"2022-03-29","cited_by_count":28,"area":null},{"id":"2205.08473","title":"ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation","created":"2022-05-17","cited_by_count":28,"area":null},{"id":"2302.10484","title":"Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN","created":"2023-02-21","cited_by_count":12,"area":null},{"id":"2105.04075","title":"CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation","created":"2021-05-10","cited_by_count":11,"area":null},{"id":"2207.07759","title":"ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video","created":"2022-07-15","cited_by_count":11,"area":null},{"id":"2408.01648","title":"Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2","created":"2024-08-03","cited_by_count":11,"area":null},{"id":"2308.11776","title":"WS-SfMLearner: Self-supervised Monocular Depth and Ego-motion Estimation on Surgical Videos with Unknown Camera Parameters","created":"2023-08-22","cited_by_count":9,"area":null},{"id":"2211.14467","title":"Self-Supervised Surgical Instrument 3D Reconstruction from a Single Camera Image","created":"2022-11-26","cited_by_count":6,"area":null},{"id":"2410.07434","title":"Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models","created":"2024-10-09","cited_by_count":5,"area":null},{"id":"2306.10773","title":"SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation","created":"2023-06-19","cited_by_count":3,"area":null},{"id":"2108.07368","title":"CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects","created":"2021-08-16","cited_by_count":0,"area":null},{"id":"2503.08970","title":"Evaluation of state-of-the-art deep learning models in the segmentation of the heart ventricles in parasternal short-axis echocardiograms","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2603.25689","title":"LEMMA: Laplacian pyramids for Efficient Marine SeMAntic Segmentation","created":"2026-03-26","cited_by_count":0,"area":null}],"next_cursor":null}