EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
Created an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data used for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset.
🔬 Detecção Histopatológica de Câncer a partir de imagens disponibilizadas pelos datasets PatchCamelyon (PCam) e Breast Cancer Histopathological Dataset (BreakHis) e a partir de dados tabulares (Breast Cancer Wisconsin Diagnostic Dataset).
Convert PatchCamelyon dataset to png images.
Sediment ANalysis and Delineation through Images. A free and open-source software to process particles from high-resolution underwater images and to analyze gravels from laboratory images. Designed for contour detection, shape characterization and size measurement.
Histopathologic metastatic breast cancer detection with convolution neural networks on pathology whole slide images using TensorFlow.
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