Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has
found applications in various medical object detection tasks. This has been accompanied by …

Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …

Although there is an improvement in breast cancer detection and classification (CAD) tools,
there are still some challenges and limitations that need more investigation. The significant …

Early breast cancer detection is one of the most important issues that need to be addressed
worldwide as it can help increase the survival rate of patients. Mammograms have been …

Abstract Coronavirus disease 2019 (COVID-19) is a novel harmful respiratory disease that
has rapidly spread worldwide. At the end of 2019, COVID-19 emerged as a previously …

Simple Summary With the advancement of artificial intelligence, including machine learning,
the field of oncology has seen promising results in cancer detection and classification …

Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …

Deep convolutional neural networks (CNNs) have emerged as a new paradigm for
Mammogram diagnosis. Contemporary CNN-based computer-aided-diagnosis systems …

Artificial Intelligence (AI) has ushered in a profound revolution within the pharmaceutical
sector, effectively streamlining the processes of drug development and delivery. The …