Accepted: 6 May 2020 A machine learning model is introduced to recognize the severity
level of the Diabetic Retinopathy (DR), a disease observed in the people suffering from …

The impressive gain in performance obtained using deep neural networks (DNN) for various
tasks encouraged us to apply DNN for image classification task. We have used a variant of …

Brain tumor detection is a tedious task which involves a lot of time and expertise. With each
passing year, the world has always witnessed an increase in the number of cases of brain …

Tumor grown in the human brains is one of the significant reasons that lead to loss of lives
globally. Tumor is malignant collection of cells that grow in the human body. If these tumors …

The success of machine learning models is subjected to the availability of sufficient amounts
of training data. Availability of large amounts of labeled data is difficult especially in the …

Advancements in the zones of reproduction intellect, AI, and clinical imaging innovations
has permitted the improvement of the clinical picture handling field by approximately …

Accepted: 29 March 2020 The success of machine learning models is subjected to the
availability of sufficient amounts of training data. Avail-ability of large amounts of labeled …