BREAST CANCER CLASSIFICATION USING DEEP LEARNING MODEL FOR CC AND MLO VIEWS OF MAMMOGRAMS

S h Kh Fazilov, Khabiba Abdieva, G.D. Sobirova

Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi · 2022-yil

Annotatsiya

In this work, we explore a way for analyzing a mammography exam holistically. We present the design and implementation of a deep learning model that takes as input the two mammography views (CC and MLO), as well as all detected breast masses and micro calcifications, and produces an output consisting of a three-class classification of the entire exam: negative (or normal), benign, or malignant findings. The registration of the CC and MLO views of a mammography exam is a difficult task due to the difficulty in estimating the non-rigid deformations that can align these two views, so we propose the deep learning model classification, with the hypothesis that the high-level nature of these features will reduce the need for a low-level matching of the input data.

Maqola ma’lumotlari
MualliflarS h Kh Fazilov, Khabiba Abdieva, G.D. Sobirova
JurnalSamarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi
Nashr sanasi2022-06-25
Jild5
Son135/1
Betlar1-7
Tilen
DOI10.59251/2181-1296.v5.1351.1136

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