Papers with Code 아카이브

Image Segmentation

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하위 태스크: 1
평가표: 13
보존된 평가 기록: 34

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lucasfidon/trustworthy-ai-fetal-brain-segmentation

공식 코드

A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation

https://github.com/luckybird1994/ASAM

공식 코드

ASAM: Boosting Segment Anything Model with Adversarial Tuning

https://github.com/luiscarlosgph/segodsidb

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Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB)

https://github.com/luo-lorry/Stylized-Medical-Segmentation

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Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation

https://github.com/lvxianwei/DeepMerge

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DeepMerge: Deep-Learning-Based Region-Merging for Image Segmentation

https://github.com/lw8807001/unimos

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UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets

https://github.com/lwhyc/oneshot_weaklyseg

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One-shot Weakly-Supervised Segmentation in Medical Images

https://github.com/lxtGH/BSSeg

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BoundarySqueeze: Image Segmentation as Boundary Squeezing

https://github.com/lxtGH/PFSegNets

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PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation

https://github.com/lxtgh/video-k-net

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Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

https://github.com/lyn1874/region_based_active_learning

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On uncertainty estimation in active learning for image segmentation

https://github.com/lyxdlii/procns

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ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation

https://github.com/lzeeorno/AFFSegNet

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AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ Segmentation

https://github.com/lzeeorno/SMAFormer

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SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation

https://github.com/lzeeorno/assnet

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AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ Segmentation

https://github.com/lzeeorno/lagrange-duality-and-cmaformer

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Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation

https://github.com/lzh19961031/pdcr_uafr-mis

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Contrastive and Selective Hidden Embeddings for Medical Image Segmentation

https://github.com/lzl199704/vis-mae

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VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification

https://github.com/lzzcd001/OSLSM

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One-Shot Learning for Semantic Segmentation

https://github.com/m3dv/diffatlas

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DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

https://github.com/m3dv/lefusion

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LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models

https://github.com/maggiebasta/lung-cancer-thesis

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Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks

https://github.com/maguirre1/deepLAI

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A deep learning classifier for local ancestry inference

https://github.com/mahmoudnafifi/WB_color_augmenter

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What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance

https://github.com/majid9418/eresu-net

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Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning

https://github.com/majy-yuji/st-usleepnet

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ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging

https://github.com/maloadba/mgenseg_2d

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M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision

https://github.com/mamrehn/interactive_image_segmentation_evaluation

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A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems

https://github.com/manuelknott/banana-defect-segmentation

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Weakly supervised image segmentation for defect-based grading of fresh produce

https://github.com/manugar/imagestyletransfer

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Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation

https://github.com/mapleandfire/li-convs

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Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation

https://github.com/marcdcfischer/punet

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Prompt Tuning for Parameter-efficient Medical Image Segmentation

https://github.com/marcus-nordstrom/optimal-solutions-to-accuracy-and-dice

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On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice

https://github.com/mariannerakic/tyche

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Tyche: Stochastic In-Context Learning for Medical Image Segmentation

https://github.com/marinbenc/medical-polar-training

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Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images

https://github.com/marksgraham/transformer-ood

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Transformer-based out-of-distribution detection for clinically safe segmentation

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