Optimal Deep Stacked Sparse Autoencoder Based Osteosarcoma Detection and Classification Model.

ABSTRACT: Osteosarcoma is a kind of bone cancer which generally starts to develop in the lengthy bones in the legs and arms. Because of an increase in occurrence of cancer and patient-specific treatment options, the detection and classification of cancer becomes a difficult process. The manual recognition of osteosarcoma necessitates expert knowledge and is time consuming. An earlier identification of osteosarcoma can reduce the death rate. With the development of new technologies, automated detection models can be exploited for medical image classification, thereby decreasing the expert's reliance and resulting in timely identification. In recent times, an amount of Computer-Aided Detection (CAD) systems are available in the literature for the segmentation and detection of osteosarcoma using medici

SUBMITTER: Fakieh B 

PROVIDER: S-EPMC9222514 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature