Online ISSN: 2515-8260

Keywords : malignant

Skin Cancer Detection Using VGG-16

Kanneboina Manasa; Dr.G.Vishnu Murthy

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 1, Pages 1419-1426

Skin cancer is a dangerous disease. Benign and malignant melanomas are one of the skin cancer diseases. Melanoma is a highly dangerous disease. It can be curable if it is detected early. Benign can be cured easily but malignant cannot be cured fastly. Benign and malignant melanoma appears in the  early stages while differentiating them. Different methods have been used for differentiating them. Skin cancer can be detected in early stages by visualizing with clinical screening by dermoscopic analysis. Detecting automatically skin lesion is a typical task. Skin cancer symptoms are small blood vessels visible, thickened patch, ulcers and bleed. Skin cancer detected by capturing images with a skin magnifier with polarized light and diagnosed with deep learning classifier in which data augmentation and weights can be added to it. In this CNN classifier is used in which RESNET-50 and VGG-16 were used in which image were resized and weights were added and then the augmentation of the data can be done.

Evaluation of Spectrum of Neck Masses on MDCT and Tissue Diagnosis Correlation

Shaina Kaur; Anisha Galhotra; Arnav Galhotra; Ritu Dhawan; Kamini Gupta; Parambir Sandhu; Kavita Saggar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 11, Pages 8316-8327

INTRODUCTION: The neck is a part of the body that has many vital structures in a relatively small region with complex anatomy. Various pathologies of the neck may present as neck swellings. The mass may be first noticed by the patient, other individual or by the physician as an incidental finding during physical examination. With the improvement of CT imaging techniques, shorter examination time, higher resolution imaging, Multidetector CT is particularly useful in evaluation of neck masses. AIM OF STUDY: To assess the role of MDCT in neck masses for characterization of nature of lesion (benign or malignant) and organ of origin and to Correlate with tissue diagnosis wherever possible. MATERIALS AND METHODS: Patients presenting with clinical suspicion of neck masses and referred for MDCT neck to the Department of Radio-diagnosis and Imaging, DMCH, Ludhiana were included in this study. RESULTS: 18.9% patients were in 31-40 years age group. Mean age for malignant lesions was 58.3 years. Most common space involved was visceral space (48.9%) and the most common diagnosis was benign thyroid nodule(s) (30%). Many of malignant lesions showed ill-defined margins (68.18%), necrosis (62.5%), heterogeneous enhancement (68.2%), bony infiltration (20.8%), obliteration of fat planes (8.3%), metastasis (45.8%), involvement of adjacent neck spaces (37.5%), vascular involvement in form of internal jugular vein thrombosis (8.3%) of cases. In diagnosing malignant lesions, CT had a sensitivity of 95.83%, specificity of 96.30%, positive predictive value of 92.00%, negative predictive value of 98.11% and accuracy of 96.15%. CONCLUSION: MDCT has high accuracy for characterization of a lesion as benign or malignant. It provides the best possible contrast of soft tissue (with the choice of appropriate delay, contrast agent volume, flow rate and scanning time), visualization of vascular structures, extent of lesion, bone and airway details, thus helps in making diagnosis and deciding further course of management.