日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Evaluating Cellularity Estimation Methods: Comparing AI Counting with Pathologists' Visual Estimates

细胞密度估计方法评估:人工智能计数与病理学家视觉估计的比较

Kiyuna, Tomoharu; Cosatto, Eric; Hatanaka, Kanako C; Yokose, Tomoyuki; Tsuta, Koji; Motoi, Noriko; Makita, Keishi; Shimizu, Ai; Shinohara, Toshiya; Suzuki, Akira; Takakuwa, Emi; Takakuwa, Yasunari; Tsuji, Takahiro; Tsujiwaki, Mitsuhiro; Yanai, Mitsuru; Yuzawa, Sayaka; Ogura, Maki; Hatanaka, Yutaka

Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs

利用自适应空间图神经网络,通过组织形态预测空间分辨基因表达

Song, Tianci; Cosatto, Eric; Wang, Gaoyuan; Kuang, Rui; Gerstein, Mark; Min, Martin Renqiang; Warrell, Jonathan

Development of multiple AI pipelines that predict neoadjuvant chemotherapy response of breast cancer using H&E-stained tissues

利用H&E染色组织开发多种AI流程,以预测乳腺癌新辅助化疗的反应

Shen, Bin; Saito, Akira; Ueda, Ai; Fujita, Koji; Nagamatsu, Yui; Hashimoto, Mikihiro; Kobayashi, Masaharu; Mirza, Aashiq H; Graf, Hans Peter; Cosatto, Eric; Hazama, Shoichi; Nagano, Hiroaki; Sato, Eiichi; Matsubayashi, Jun; Nagao, Toshitaka; Cheng, Esther; Hoda, Syed Af; Ishikawa, Takashi; Kuroda, Masahiko

Prediction of non-muscle invasive bladder cancer recurrence using machine learning of quantitative nuclear features

利用定量核特征的机器学习预测非肌层浸润性膀胱癌复发

Tokuyama, Naoto; Saito, Akira; Muraoka, Ryu; Matsubara, Shuya; Hashimoto, Takeshi; Satake, Naoya; Matsubayashi, Jun; Nagao, Toshitaka; Mirza, Aashiq H; Graf, Hans-Peter; Cosatto, Eric; Wu, Chin-Lee; Kuroda, Masahiko; Ohno, Yoshio

Prediction of early recurrence of hepatocellular carcinoma after resection using digital pathology images assessed by machine learning

利用机器学习评估数字病理图像对肝细胞癌切除术后早期复发的预测

Saito, Akira; Toyoda, Hidenori; Kobayashi, Masaharu; Koiwa, Yoshinori; Fujii, Hiroki; Fujita, Koji; Maeda, Atsuyuki; Kaneoka, Yuji; Hazama, Shoichi; Nagano, Hiroaki; Mirza, Aashiq H; Graf, Hans-Peter; Cosatto, Eric; Murakami, Yoshiki; Kuroda, Masahiko

Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach

利用机器学习方法对乳腺肿瘤微环境肌上皮细胞进行形态计量分类,实现乳腺肿瘤的定量诊断

Yamamoto, Yoichiro; Saito, Akira; Tateishi, Ayako; Shimojo, Hisashi; Kanno, Hiroyuki; Tsuchiya, Shinichi; Ito, Ken-Ichi; Cosatto, Eric; Graf, Hans Peter; Moraleda, Rodrigo R; Eils, Roland; Grabe, Niels

Automated histological classification of whole slide images of colorectal biopsy specimens

结直肠活检标本全切片图像的自动组织学分类

Yoshida, Hiroshi; Yamashita, Yoshiko; Shimazu, Taichi; Cosatto, Eric; Kiyuna, Tomoharu; Taniguchi, Hirokazu; Sekine, Shigeki; Ochiai, Atsushi

Pathological Diagnosis of Gastric Cancers with a Novel Computerized Analysis System

利用新型计算机分析系统进行胃癌病理诊断

Oikawa, Kosuke; Saito, Akira; Kiyuna, Tomoharu; Graf, Hans Peter; Cosatto, Eric; Kuroda, Masahiko

Quantitative nucleic features are effective for discrimination of intraductal proliferative lesions of the breast

定量核酸特征可有效鉴别乳腺导管内增生性病变

Yamada, Masatoshi; Saito, Akira; Yamamoto, Yoichiro; Cosatto, Eric; Kurata, Atsushi; Nagao, Toshitaka; Tateishi, Ayako; Kuroda, Masahiko

A novel method for morphological pleomorphism and heterogeneity quantitative measurement: Named cell feature level co-occurrence matrix

一种用于形态多形性和异质性定量测量的新方法:命名细胞特征水平共生矩阵

Saito, Akira; Numata, Yasushi; Hamada, Takuya; Horisawa, Tomoyoshi; Cosatto, Eric; Graf, Hans-Peter; Kuroda, Masahiko; Yamamoto, Yoichiro