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April 4, 2019 A research paper regarding the technology of APSAM Imaging Corp. has been published. Qaiser T, Tsang YW, Taniyama D, et al. Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features. Med Image Anal. 2019;55:1-14. doi:10.1016/j.media.2019.03.014 The study demonstrated the utility of the homology profile (“HP”) for histopathology…
April 8, 2019 APSAM Imaging Corp. was founded after the support of START, a funding program of JST (Japan Science and Technology Agency) to create spin-outs of universities or research institutes.
January 15, 2020 With the support of 360ip Japan Pte. Ltd., APSAM Imaging Corp. has been awarded a pre-STS grant of NEDO (New Energy and Industrial Technology Development Organization) to push forward the application of the homology profile (“HP”) for cytopathology image analysis.
March 16, 2020 A research paper regarding the technology of APSAM Imaging Corp. has been published. Kadoya N, Tanaka S, Kajikawa T, et al. Homology-based radiomic features for prediction of the prognosis of lung cancer based on CT-based radiomics. Med Phys. 2020;47(5):2197-2205. doi:10.1002/mp.14104 The study demonstrated improvement of the radiomics for prognostic prediction by adding the homology…
May 26, 2020 A research paper regarding the technology of APSAM Imaging Corp. has been published. Yan C, Nakane K, Wang X, et al. Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. Comput Methods Programs Biomed. 2020;194:105528. doi:10.1016/j.cmpb.2020.105528 The studypresented a novel approach with the homology profile (“HP”) for automated Gleason grading on…