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Breast Cancer Histopathological Database (BreakHis) We believe that researchers will find this database a useful tool since it makes future benchmarking and evaluation possible The dataset BreaKHis is divided into two main groups: benign tumors and malignant tumors
Deep Learning Based Analysis of Histopathological Images of . . . To solve the unbalanced distribution of samples of histopathological images of breast cancer, the BreaKHis dataset was expanded by rotation, inversion, and several other data augmentation techniques
Breast Cancer Histopathological Dataset (BreakHis) - GitHub This database has been built in collaboration with the P D Laboratory - Pathological Anatomy and Cytopathology, Parana, Brazil The dataset BreaKHis is divided into two main groups: benign tumors and malignant tumors
BreakHis - Breast Cancer Histopathological Database This dataset was created to be used in machine learning tasks for both binary and multiclass classification problems It consists of 7,909 microscopic images of breast tumor tissue, captured using different magnification factors (40X, 100X, 200X, and 400X)
BreakHis - eva The Breast Cancer Histopathological Image Classification (BreakHis) is composed of 9,109 microscopic images of breast tumor tissue collected from 82 patients using different magnifying factors (40X, 100X, 200X, and 400X)
BreakHis based breast cancer automatic diagnosis using deep . . . Recently, a public dataset called BreakHis has been released to overcome these limitations BreakHis is organized into four magnification levels, each image is labeled according to its main category (Benign Malignant) and its subcategory (A F PT TA PC DC LC MC)
High-Performance Classification of Breast Cancer . . . - bioRxiv This paper presents state-of-the-art performance in histopathological image classification of breast cancer using a novel approach with the Vision Transformer (ViT) model fine-tuned using the BreakHis dataset