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CS 231N Final Project Report: Cervical Cancer Screening PDF

9 Pages·2022·English
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by ['shital shermale']| 2022| 9 pages| English

About CS 231N Final Project Report: Cervical Cancer Screening

This document summarizes a project to develop a convolutional neural network (CNN) model to classify cervical images into three types. The authors constructed and trained two CNN models from scratch (CervixNet-1 and CervixNet-2) and adapted two existing pretrained models (ResNet v1 and Inception v2). Their best model, CervixNet-2, achieved a classification accuracy of 63% on a dataset of cervical images from Kaggle. The authors hope this project inspires future work to improve cervical image classification through better image segmentation techniques.

Detailed Information

Author:['shital shermale']
Publication Year:2022
Pages:9
Language:English
Format:PDF
Price:FREE
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