computer-vision-10

Histopathological Segmentation

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in histopathological-segmentation-10

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Dataset

Best Model

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Libraries

i

Use these libraries to find histopathological-segmentation-10 models and implementations

Datasets

CoCaHis

Subtasks

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Most implemented papers

GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation

Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan, A. Kakkar, Prathosh A.P.•Sun Sep 03 2023

Generative diffusion is proposed as the pretext task for histopathological image segmentation via generative diffusion models based on the observation that diffusion models effectively solve an image-to-image translation task akin to a segmentation task.

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Slideflow: deep learning for digital histopathology with real-time whole-slide visualization

F. Howard, Sara E Kochanny, J. Dolezal, E. Dyer, Andrew Srisuwananukorn, Matteo Sacco, Anran Li, Prajval Mohan, Alexander T. Pearson•Sat Apr 08 2023

A flexible deep learning library for histopathology called Slideflow is developed, a package which supports a broad array of deep learning methods for digital pathology and includes a fast whole-slide interface for deploying trained models.

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Weakly supervised multiple instance learning histopathological tumor segmentation

N. Paragios, T. Estienne, Marvin Lerousseau, M. Vakalopoulou, Marion Classe, J. Adam, E. Battistella, Alexandre Carr'e, T. Henry, É. Deutsch•Thu Apr 09 2020

A weakly supervised framework for whole slide imaging segmentation that relies on standard clinical annotations, available in most medical systems, is proposed that exploits a multiple instance learning scheme for training models.

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