Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model
Introduction Breast cancer stands as the second most deadly form of cancer among women
worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose …
worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose …
SkinNet-16: A deep learning approach to identify benign and malignant skin lesions
Skin cancer these days have become quite a common occurrence especially in certain
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …
[HTML][HTML] A robust framework combining image processing and deep learning hybrid model to classify cardiovascular diseases using a limited number of paper-based …
Heart disease can be life-threatening if not detected and treated at an early stage. The
electrocardiogram (ECG) plays a vital role in classifying cardiovascular diseases, and often …
electrocardiogram (ECG) plays a vital role in classifying cardiovascular diseases, and often …
A review on computational methods for breast cancer detection in ultrasound images using multi-image modalities
S Sushanki, AK Bhandari, AK Singh - Archives of Computational Methods …, 2024 - Springer
Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity
The complex feature characteristics and low contrast of cancer lesions, a high degree of
inter-class resemblance between malignant and benign lesions, and the presence of …
inter-class resemblance between malignant and benign lesions, and the presence of …
Use of efficient machine learning techniques in the identification of patients with heart diseases
Cardiovascular disease has become one of the world's major causes of death. Accurate and
timely diagnosis is of crucial importance. We constructed an intelligent diagnostic framework …
timely diagnosis is of crucial importance. We constructed an intelligent diagnostic framework …