A comprehensive dental dataset of six classes for deep learning based object detection study.

This article presents a dental dataset for the improvement of research on deep learning-based detection and classification of dental diseases. The dataset is consisted of 232 panoramic dental radiographs, categorized into six major classes: healthy teeth, caries, impacted teeth, infections, fractured teeth, and broken-down crowns/roots (BDC/BDR). The images were collected from three renowned private clinics in Dhaka, Bangladesh, with the help of an experienced dental practitioner who ensured the confidentiality of patients and high-quality data acquisition using a 64-megapixel Android phone camera.

Testicular tumour - a review article.

Painless scrotal masses must be investigated with ultrasound imaging and tumour marker assay before being treated with radical inguinal orchidectomy. For unknown reasons, the incidence of this cancer increased in Caucasian population. The incidence of testicular germ cell tumour has doubled in past 40 years.