Multiclass classification of brain tumors is an important area of research in the field of
medical imaging. Since accuracy is crucial in the classification, a number of techniques are …

In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …

Early classification of brain tumors from magnetic resonance imaging (MRI) plays an
important role in the diagnosis of such diseases. There are many diagnostic imaging …

Multi-class brain tumor classification is an important area of research in the field of medical
imaging because of the different tumor characteristics. One such challenging problem is the …

Malignant melanoma is considered to be one of the deadliest types of skin cancers which is
responsible for the massive number of deaths worldwide. According to the American Cancer …

Emotion recognition by artificial intelligence (AI) is a challenging task. A wide variety of
research has been done, which demonstrated the utility of audio, imagery, and …

Pulmonary nodule is one of the lung diseases and its early diagnosis and treatment are
essential to cure the patient. This paper introduces a deep learning framework to support the …

Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …

Effective recognition of fruit leaf diseases has a substantial impact on agro‐based
economies. Several fruit diseases exist that badly impact the yield and quality of fruits. A …

Early detection of brain tumors can save precious human life. This work presents a fully
automated design to classify brain tumors. The proposed scheme employs optimal deep …