Computer Science And Machine Learning Intern

About the job and it’s activities

Oral cancer, a deadly form of the disease, claims approximately 300,335 lives annually, making it a prevalent global health concern. It primarily manifests in the lips, face, and neck lymph nodes. Early detection is pivotal for effective treatment, often achieved through biopsy. However, microscopic tissue examinations for cancer detection are hindered by human error. Deep learning algorithms, notably convolutional neural networks, have emerged as crucial tools in medical imaging, enhancing accuracy and prognosis in oral cancer diagnosis.

Monday to Friday, - 9:00 am - 5:00 pm

Responsibilities

• Oral cancer histopathologic imaging
• Deep Learning Algorithms
• Simulation results of the proposed model to achieve higher classification accuracy
• Utilisation of convolution neural networks to predict oral cancer
• Machine learning model to make improvements in diagnosis and prognosis of histopathological oral cancer