電腦斷層之小波分析身體部位分割與深度學習卵巢腫瘤分類

J Huang - 國立臺灣大學數學系學位論文, 2021 - airitilibrary.com
… An analysis pipeline and a machine learning classification model by using CT images
images by deep learning models without using image annotations of ovaries and ovarian tumors. …

[HTML][HTML] 人工智能在卵巢癌医学影像中的应用进展

陈旭, 霍晓菲, 吴哲, 陆菁菁 - Chinese Medical Sciences Journal, 2021 - cmsj.cams.cn
… model to predict definitive diagnosis of ovarian tumors and … that a machine learning algorithm
based on ultrasound images in … an image diagnosis system for classifying the ovarian cysts …

多模态超声在卵巢癌化疗疗效评估中的研究进展

王翠翠, 董景云, 唐丽玮, 王迪, 邹秀媛, 高岩冰 - 分子影像学杂志, 2024 - j-fzyx.com
… the assessment of chemotherapy for ovarian cancer because of its low … imaging,
contrast-enhanced ultrasound, and ultrasound in … Predictive value of machine learning for breast …

机器学习算法在辅助超声诊断附件肿块良恶性中的应用研究进展

何新, 陈慧, 冯炜炜 - 诊断学理论与实践, 2022 - qk.sjtu.edu.cn
… and progress of machine learning in ultrasound diagnosis of … application of deep learning
in medical image classification and seg … Deep learning enabled pelvic ultrasound images for …

基于卷积神经网络在卵巢肿瘤良恶性鉴别诊断中的研究.

杨志新, 赵丽珠, 邓玥, 杨丽华 - Journal of Kunming Medical …, 2023 - search.ebscohost.com
… Conclusion The convolutional neural network ovarian tumor … or malignant nature of
ovarian tumor ultrasound images. … Classification of skin disease using deep learning neural …

基于灰阶超声影像组学在鉴别膀胱尿路上皮癌病理分级中的应用价值

王丹, 任瑞民, 任雯, 陈秀斌, 姚浮成, 薛继平 - 分子影像学杂志, 2024 - j-fzyx.com
… three machine learning models, the Support vector machine model … Conclusion Grayscale
ultrasound image- based radiomics … the pathological grading of bladder urothelial carcinoma, …

基于机器学习的乳腺癌影像基因组学研究综述

王慧娜, 李金书, 李建强, 刘博 - 北京工业大学学报, 2024 - journal.bjut.edu.cn
… of machine learning technology in breast cancer radiogenomics, … cancer and the methods
for obtaining breast cancer imagingtumor classification using an ensemble machine learning

支援向量機於乳癌預測之研究

SC Chin - 2015 - ir.lib.ncu.edu.tw
… (SVM) are the core machine learning technique and they have … classification problems,
very few explore the performances of SVM using different learning functions in breast cancer

[PDF][PDF] 基于MRI 常规T2WI 的不同影像组学模型在卵巢上皮性肿瘤术前三分类中的应用

胡艳, 刘洋, 郑伊能, 肖智博, 陈丽平, 张剑, 戴梦莹… - 磁共振成像, 2021 - med-sci.cn
… different machine learning algorithms in preoperative tri-classification of epithelial ovarian
tumors. … Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting …

人工智能辅助恶性肿瘤诊断的应用进展

王祥旭, 潘伟, 张琼, 黄陆光, 张红梅 - 肿瘤防治研究, 2020 - zlfzyj.com
tumor diagnosis system, including images, pathological … Deep learning provides a new
computed tomography-based … for recurrence prediction in high-grade serous ovarian cancer[J]. …