Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer
Lung cancer continues to be a major healthcare challenge with high morbidity and mortality rates among both men and women worldwide. The majority of lung cancer cases are of non-small cell lung cancer type. With the advent of targeted cancer therapy, it is imperative not only to properly diagnose but also sub-classify non-small cell lung cancer. In our study, we evaluated the utility of using Apple Create ML module to detect and sub-classify non-small cell carcinomas based on histopathological images. After module optimization, the program detected 100% of non-small cell lung cancer images and successfully subclassified the majority of the images. Trained modules, such as ours, can be utilized in diagnostic smartphone-based applications, augmenting diagnostic services in understaffed areas of the world.
Code (1)
Tasks
BIG-bench Machine LearningDiagnosticSimilar Papers 제목 키워드 기반
Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application
Real-time apple detection in orchards is one of the most effective ways of estimating apple yields, which helps in managing apple supplies more effectively. Traditional detection methods used highly computational machine…
Decision MakingManagementRaspberry Pi 3YOLOv5s-BC: An improved YOLOv5s-based method for real-time apple detection
To address the issues associated with the existing algorithms for the current apple detection, this study proposes an improved YOLOv5s-based method, named YOLOv5s-BC, for real-time apple detection, in which a series of m…
S$^3$AD: Semi-supervised Small Apple Detection in Orchard Environments
Crop detection is integral for precision agriculture applications such as automated yield estimation or fruit picking. However, crop detection, e.g., apple detection in orchard environments remains challenging due to a l…
object-detectionObject DetectionSmall Object DetectionApple Machine Learning Algorithms Successfully Detect Colon Cancer but Fail to Predict KRAS Mutation Status
Colon cancer is the second leading cause of cancer-related death in the United States of America. Its prognosis has significantly improved with the advancement of targeted therapies based on underlying molecular changes.…
DiagnosticPrognosisStem-Calyx Recognition of an Apple using Shape Descriptors
This paper presents a novel method to recognize stem - calyx of an apple using shape descriptors. The main drawback of existing apple grading techniques is that stem - calyx part of an apple is treated as defects, this l…
Segmentation