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Found 5 papers, 2 papers with code
Meta Mask Correction for Nuclei Segmentation in Histopathological Image
However, the development of such an automated method requires a large amount of data with precisely annotated masks which is hard to obtain.
Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
In this paper, we propose a Composite High-Resolution Network for ccRCC nuclei grading.
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images
Semi-supervised learning (SSL) is an effective way to utilize unlabeled data and alleviate the need for labeled data.
OpenHI2 -- Open source histopathological image platform
Transition from conventional to digital pathology requires a new category of biomedical informatic infrastructure which could facilitate delicate pathological routine.
Effects of annotation granularity in deep learning models for histopathological images
In classification, state-of-the-art deep learning-based classifiers perform better when trained by pixel-wise annotation dataset.
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