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Computational cancer detection of pathological images based on an optimization method for color-index local auto-correlation feature extraction.

, , , , , и . ISBI, стр. 822-825. IEEE, (2014)

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Hirokazu Kawaguchi

Hirokazu Kurosawa

 

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MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis., , , , и . ICPRAM (Revised Selected Papers), том 14547 из Lecture Notes in Computer Science, стр. 49-68. Springer, (2023)Object Detection in Satellite Images Based on Active Learning Utilizing Visual Explanation., , , и . ISPA, стр. 27-31. IEEE, (2019)The Impact of the Balance between Trust in Advice and Confidence in Human Judgment on Advice Utilization., , и . CogSci, cognitivesciencesociety.org, (2023)Method of retrieving multi-scale objects from optical colonoscopy images based on image-recognition techniques., , , и . BioCAS, стр. 1-4. IEEE, (2015)Evolvable Optical Systems and Their Applications., , , , , и . ICES, том 2210 из Lecture Notes in Computer Science, стр. 327-340. Springer, (2001)Image Retrieval Method for Multiscale Objects from Optical Colonoscopy Images., , , , , , и . Int. J. Biomed. Imaging, (2017)Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis., , , , , и . ISBI, стр. 1-5. IEEE, (2023)Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology Using Deep Neural Networks., , , , , и . BIOSTEC (Selected Papers), том 1211 из Communications in Computer and Information Science, стр. 105-119. Springer, (2019)Multi-task Learning with Consistent Prediction for Efficient Breast Ultrasound Tumor Detection., , , , , и . BIBM, стр. 3201-3208. IEEE, (2022)Automatic Optical Fiber Alignment System Using Genetic Algorithms., , и . Artificial Evolution, том 2936 из Lecture Notes in Computer Science, стр. 129-140. Springer, (2003)