Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their
structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is …

Quantitative analysis of pulmonary nodules is necessary for the early diagnosis and
treatment of lung cancer, improving the possibility of patient survival. Although deep …

The accurate segmentation of AS-OCT images is a prerequisite for the morphological details
analysis of anterior segment structure and the extraction of clinical biological parameters …

Craniomaxillofacial (CMF) surgery always relies on accurate preoperative planning to assist
surgeons, and automatically generating bone structures and digitizing landmarks for CMF …

Lung Segmentation is one of the pre-processing steps for lung cancer diagnosis.
Segmentation of lung contour is challenging when the nodules are attached to the …

Juxtapleural nodules were excluded from the segmented lung region in the Hounsfield unit
threshold-based segmentation method. To re-include those regions in the lung region, a …

Deep learning has shown tremendous success in solving some of the long-standing
computer vision problems and has found applications in the medical imaging domain as …

In this research work, an Efficient Segmentation and Classification (ESC) system for Lung
Cancer Diagnosis (LCD) is developed. It consists of three main modules; Fusion of Different …

For any computer-aided diagnosis, image segmentation is the primary task. Training
supervised or semi-supervised models by using human body parts from 2D or 3D images …