A deep learning approach for the detection and counting of colon cancer cells (HT-29 cells) bunches and impurities.
Inayatul HaqTehseen MazharRizwana Naz AsifYazeed Yasin GhadiRabea SaleemFatma MallekHabib HamamPublished in: PeerJ Comput. Sci. (2023)
Keyphrases
- cancer cells
- deep learning
- cell segmentation
- high rate
- quantitative analysis
- early detection
- lung cancer
- microscopy images
- unsupervised learning
- false alarms
- unsupervised feature learning
- false positives
- false negative
- machine learning
- mental models
- microscope images
- low contrast
- detection method
- detection rate
- weakly supervised
- object detection
- image segmentation
- false positive rate
- detection algorithm
- co occurrence
- image processing
- decision making
- data mining