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Another of the deadliest illnesses is cancer. Furthermore, the least frequent cancer in women is breast cancer, which can be lethal if left untreated. Even with significant advancements in medical technology over the years, the only reliable method for detecting breast cancer is still a biopsy. Microscopic histology photos can be used by pathologists to identify malignancy. It’s difficult to see cancer; it takes a lot of talent, imagination, and concentration. Therefore, a more rapid and precise method of identifying breast cancer is required. An effective partially or fully computer-controlled diagnosis system is being researched in several ways due to advances in machine learning and image processing. Cancer of the invasive ductal was identified and categorized in this study.

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Transfer-Learning Method for Automatic Breast Cancer Identification and Classification

  • 会议论文

  • 发表日期：

    2025年

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  • B. Kavitha Rani,
  • Raheem Unissa,
  • M. Naveen Kumar,
  • T. Sarika,
  • Y. Sailaja,
  • T. Upender

摘要

Another of the deadliest illnesses is cancer. Furthermore, the least frequent cancer in women is breast cancer, which can be lethal if left untreated. Even with significant advancements in medical technology over the years, the only reliable method for detecting breast cancer is still a biopsy. Microscopic histology photos can be used by pathologists to identify malignancy. It’s difficult to see cancer; it takes a lot of talent, imagination, and concentration. Therefore, a more rapid and precise method of identifying breast cancer is required. An effective partially or fully computer-controlled diagnosis system is being researched in several ways due to advances in machine learning and image processing. Cancer of the invasive ductal was identified and categorized in this study.