Multi-Feature Classification of Breast Cancer Histopathology Images: An Experimental Investigation in Machine Learning and Deep Learning Paradigm

نویسندگان

چکیده

HIGHLIGHTS The proposed approach performs the classification of breast tumors in histopathology images. evaluates a multi-feature classifier for risk stratification. performance different classifiers is compared under data division protocols. highest accuracy 99.85% after feature selection reported.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

an investigation into the impact of m-game-enhanced blended module of teaching and learning on iranian students english literacy skills and subskills learning

پژوهش حاضر با پیوند رسانه های قدیمی و جدید یاد دهی و یادگیری _طرح داستان و بازی های همراه ــ در یک پو دمان ترکیبی، در صدد قیاس شیوه ی یاد دهی و یادگیری مبتنی بر بازی مهارت های فرعی و اصلی واژگان، خواندن و نوشتار سواد انگلیسی با شیوه های مرسوم آن بود. به این منظور با کاربرد یک طرح سه گانه همراه با الگوی نظام آموزشی (تومی، 2010)، بازی های از پیش ساخته شده و بومی قابل عرضه از طریق ارتباطات سیّار (ب...

Diagnosing Breast Cancer by Machine Learning

Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultim...

متن کامل

Automated Detection and Classification of Cancer Metastases in Whole-slide Histopathology Images Using Deep Learning

This paper presents and evaluates automatic breast cancer metastases detection in whole-slide images of lymph nodes. The classification is performed on patient level by inspecting several WSIs per patient. Every patient is assigned to one out of five pN-stages. We use convolutional neural networks for slide-level tumor detection. We found that the prediction performance improves by using test-t...

متن کامل

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

15 صفحه اول

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Brazilian Archives of Biology and Technology

سال: 2023

ISSN: ['1678-4324', '1516-8913']

DOI: https://doi.org/10.1590/1678-4324-2023220297