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學年
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111 |
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學期
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2 |
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出版（發表）日期
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2023-03-23 |
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作品名稱
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Breast Tumor Classification using Short-ResNet with Pixel-based Tumor Probability Map in Ultrasound Images |
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作品名稱（其他語言）
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著者
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You-Wei Wang; Tsung-Ter Kuo; Yi-Hong Chou; Yu Su; Shing-Hwa Huang; Chii-Jen Chen* |
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單位
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出版者
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著錄名稱、卷期、頁數
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Ultrasonic Imaging 45(2), pp.74-84 |
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摘要
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Breast cancer is the most common form of cancer and is still the second leading cause of death for women in the world. Early detection and treatment of breast cancer can reduce mortality rates. Breast ultrasound is always used to detect and diagnose breast cancer. The accurate breast segmentation and diagnosis as benign or malignant is still a challenging task in the ultrasound image. In this paper, we proposed a classification model as short-ResNet with DC-UNet to solve the segmentation and diagnosis challenge to find the tumor and classify benign or malignant with breast ultrasonic images. The proposed model has a dice coefficient of 83% for segmentation and achieves an accuracy of 90% for classification with breast tumors. In the experiment, we have compared with segmentation task and classification result in different datasets to prove that the proposed model is more general and demonstrates better results. The deep learning model using short-ResNet to classify tumor whether benign or malignant, that combine DC-UNet of segmentation task to assist in improving the classification results. |
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關鍵字
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breast cancer;tumor classification;convolutional neural network;deep learning;ultrasound |
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語言
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en_US |
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ISSN
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0161-7346; 1096-0910 |
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期刊性質
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國外 |
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收錄於
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SCI
Scopus
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產學合作
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通訊作者
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Chii-Jen Chen |
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審稿制度
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是 |
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國別
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USA |
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公開徵稿
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出版型式
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,電子版,紙本 |