Breast Cancer Classification

Kalbe Digital Lab

Overview

The Breast Cancer Classification program serves the critical purpose of categorizing breast ultrasound images into three distinct classes: normal, benign, and malignant, with the primary objective being the identification of lesions. This program trained using ResNet18 model.

Dataset

The program has been meticulously trained on a robust and diverse dataset, specifically Breast Ultrasound Images Dataset..
This dataset is a comprehensive repository of ultrasound scans, encompassing a wide spectrum of breast conditions. It is a highly valuable resource that has been instrumental in the training of our model.

  • objective: Lesion identification
  • Task: Classification
  • Modality: Grayscale Images

Model Architecture

The model architecture of ResNet18 to train Ultrasound images for classifying breast cancer.

model-architecture

Demo

Please select or upload a Breast Ultrasound scan image to see the capabilities of breast cancer classification with this model