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Open AccessJournal Article

Ultrasound diagnosis of breast cancer

TLDR
How to take good ultrasonic pictures of the breast and make correct diagnosis are discussed and diagnostic criteria preliminarily adopted by the Japan Society of Ultrasonics in Medicine are proposed.
Abstract
In this paper, first, how to take good ultrasonic pictures of the breast and make correct diagnosis are discussed. The author stressed the earnest attitude to understand and master the apparatus and correlate ultrasonic pictures with cut surfaces or microscopical figures of the specimen. Secondly, diagnostic criteria preliminarily adopted by the Japan Society of Ultrasonics in Medicine are proposed and are explained practically. The elements of this criteria are shape, border, boundary echoes, internal echoes, posterior echoes, bilateral shadows, changes at surrounding tissues and longitudinal-transverse ratio. Lastly, pictures of the benign and malignant lesions of the breast are shown using typical examples.

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FPA-FTIR Microspectroscopy for Monitoring Chemotherapy Efficacy in Triple-Negative Breast Cancer.

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An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images

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Comparison of ultrasound and histopatological findings breast cancer between women aged below and above 40 years.

TL;DR: Younger age group has a similar feature with the older age group, except they have late stage and progesterone negativity, and there is no significant association between agegroup, ultrasound, histological features, and breast carcinoma receptors.
References
More filters
Journal ArticleDOI

Bioelectrical Impedance Methods for Noninvasive Health Monitoring: A Review.

TL;DR: The working principles, applications, merits, and demerits of these methods has been discussed in detail along with their other technical issues followed by present status and future trends.
Journal ArticleDOI

Research on Feature Extraction of Tumor Image Based on Convolutional Neural Network

TL;DR: The CNN algorithm has more accurate feature extraction ability for tumor CT images on a larger data basis and two convolution models of Xception and Dense Net are built to improve the accuracy of the CNN algorithm.
Journal ArticleDOI

FPA-FTIR Microspectroscopy for Monitoring Chemotherapy Efficacy in Triple-Negative Breast Cancer.

TL;DR: The PCA results obtained using the FPA-FTIR spectral data collected from the same patients before and after the chemotherapy revealed discriminatory features that were consistent with the pathologic and clinical responses to chemotherapy, indicating the potential of the technique as a monitoring tool for observing chemotherapy efficacy.
Journal ArticleDOI

An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images

TL;DR: This work develops a highly accurate CAD system that is based on a support vector machine and the artificial immune system (AIS) algorithm for evaluating breast tumors that can reduce the number of biopsies and yield useful results that assist physicians in diagnosing breast tumors.
Journal ArticleDOI

Comparison of ultrasound and histopatological findings breast cancer between women aged below and above 40 years.

TL;DR: Younger age group has a similar feature with the older age group, except they have late stage and progesterone negativity, and there is no significant association between agegroup, ultrasound, histological features, and breast carcinoma receptors.