Cancer is one of the foremost reasons for death worldwide, with nearly 10 million deaths
noted in 2020. Globally, oral cancer ranks sixth when compared to other cancers. It is lethal …

In latest years, convolutional neural networks (CNNs) have accomplished state-of-the-art
performance in many computer vision tasks such as classification of images, object …

Worldwide, oral cancer is the sixth most common type of cancer. India is in 2nd position, with
the highest number of oral cancer patients. To the population of oral cancer patients, India …

Simple Summary The research aimed to address the challenges in the early diagnosis of
Oral Squamous Cell Carcinoma (OSCC), a critical concern given its high fatality rate and …

Introduction Oral cancer has grown to be one of the most prevalent malignant tumours and
one of the deadliest diseases in emerging and low-to-middle income nations. The mortality …

Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …

One of the most prevalent forms of cancer worldwide is oral cancer which has a high rate of
mortality. Diagnosis and treatment of oral premalignant lesions at an early stage reduces the …

Objectives To develop a lightweight deep convolutional neural network (CNN) for binary
classification of oral lesions into benign and malignant or potentially malignant using …

The malignant nature of oral cancer is made evident by its low average chance of survival.
Oncology and surgical treatment modality advancements have only modestly improved …

Oral cancer is one of the deadliest diseases around the world with varied morphological
traits, hence making it difficult to manually achieve accurate classification. Further, the …