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Unleashing the Potential of Computer-Assisted Diagnosis (CAD): Insights into Advancing Breast Cancer Detection

Discover the potential of computer-assisted diagnosis in breast cancer detection: Insights from Dr. Chetna Kaushal et al. research

Join us for an enlightening audio by Dr. Chetna Kaushal, an esteemed Assistant Professor at Chitkara University Institute of Engineering and Technology, Chitkara. Her research, published in IRBM, sheds light on the latest trends in computer-assisted diagnosis (CAD) systems for breast cancer detection using histopathological images.

Understanding breast cancer

Breast cancer continues to be the most prevalent form of cancer among women worldwide. Early and accurate detection is crucial for improving treatment outcomes and survival rates. Dr. Kaushal and her co-authors explore the exciting possibilities offered by computer-assisted diagnosis (CAD) to enhance the diagnostic process.

The potential of CAD

In her audio, Dr. Chetna Kaushal addresses the limitations of traditional methods such as mammography and biopsy, which may lack accuracy, specificity, and sensitivity. She highlights the promising use of computer-assisted diagnosis through the analysis of histopathological images. This innovative approach involves a meticulous examination of tissue samples to identify the presence of abnormal cells, a significant characteristic of breast cancer.

Opportunities and challenges

While histopathological analysis is widely employed for breast cancer diagnosis and grading, its accuracy can vary based on the proficiency of the pathologist and the quality of tissue samples. Dr. Kaushal’s research delves into the valuable opportunities and challenges associated with leveraging histopathological images, offering insights that are relevant to both researchers and clinicians in the field.

Don’t miss the opportunity to gain valuable insights from Dr. Chetna Kaushal’s research on computer-assisted diagnosis for breast cancer detection. Her audio provides a captivating glimpse into the challenges and opportunities discussed in the research article. Tune in now to stay informed and contribute to the future of breast cancer diagnosis.

Listen to Dr. Chetna Kaushal’s audio and explore the forefront of breast cancer detection: https://acaudio.com/profile/1923

Stay tuned for more research updates and groundbreaking discoveries. Join us in promoting advancements in breast cancer detection and making a positive impact on healthcare by checking out our playlist:

Breast Cancer Cells and Diagnosis: Latest Advances and Techniques Playlist.

Read the research article here.

Knowledge is power, and together we can drive progress in breast cancer detection and improve the lives of countless individuals.

C. Kaushal, S. Bhat, D. Koundal, A. Singla, Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images, IRBM, Volume 40, Issue 4, 2019, Pages 211-227, ISSN 1959-0318, https://doi.org/10.1016/j.irbm.2019.06.001.

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