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Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer.

, , , , , , , and . Artif. Intell. Medicine, (2019)

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Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images., , , , and . Comput. Biol. Medicine, (December 2023)Content-based image retrieval of centroblast cells and noncentroblast cells in Follicular lymphoma., , and . SIU, page 1-4. IEEE, (2012)Machine Learning-Based Analysis of Ebola Virus' Impact on Gene Expression in Nonhuman Primates., , , , and . CoRR, (2024)Prognostic Reporting of p53 Expression by Image Analysis in Glioblastoma Patients: Detection and Classification., , , , and . HIS, volume 9085 of Lecture Notes in Computer Science, page 165-173. Springer, (2015)FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage., , , , , , , , and . Medical Imaging: Digital Pathology, volume 10140 of SPIE Proceedings, page 101400E. SPIE, (2017)Service-Based Access to and Processing of Large Scientific Datasets., , , , , , , , , and 3 other author(s). High Performance Computing Workshop, volume 16 of Advances in Parallel Computing, page 345-362. IOS Press, (2006)A morphological subband decomposition structure using GF(N) arithmetic., , and . ICIP (1), page 253-256. IEEE Computer Society, (1996)Automated detection and enhancement of microcalcifications in mammograms using nonlinear subband decomposition., , , and . ICASSP, page 3069-3072. IEEE Computer Society, (1997)Massively multithreaded maxflow for image segmentation on the Cray XMT-2., , and . Concurr. Comput. Pract. Exp., 26 (18): 2836-2855 (2014)Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer., , , , , , , and . Artif. Intell. Medicine, (2019)