A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi

This paper presents a deep learning benchmark on a complex dataset known as KFUPM Handwritten Arabic TexT (KHATT). The KHATT data-set consists of complex patterns of handwritten Arabic text-lines. This paper contributes mainly in three aspects i.e., (1) pre-processing, (2) deep learning based approach, and (3) data-augmentation. The pre-processing step includes pruning of white extra spaces plus de-skewing the skewed text-lines. We deploy a deep learning approach based on Multi-Dimensional Long Short-Term Memory (MDLSTM) networks and Connectionist Temporal Classification (CTC). The MDLSTM has the advantage of scanning the Arabic text-lines in all directions (horizontal and vertical) to cover dots, diacritics, strokes and fine inflammation. The data-augmentation with a deep learning approach proves to achieve better and promising improvement in results by gaining 80.02% Character Recognition (CR) over 75.08% as baseline.

Download Full-text

Author response for "Deep learning and reinforcement learning approach on microgrid"

10.1002/2050-7038.12531/v2/response1 ◽

2020 ◽

Author(s):

Kumar Chandrasekaran ◽

Prabaakaran Kandasamy ◽

Srividhya Ramanathan

Keyword(s):

Deep Learning ◽

Reinforcement Learning ◽

Author Response ◽

Learning Approach

Download Full-text

CYTOLOGICAL DIAGNOSIS AS A METHOD OF SCREENING OF PRE-MALIGNANT MELANOCYTIC TUMORS AND EARLY FORMS OF SKIN MELANOMA

Problems in oncology ◽

10.37469/0507-3758-2018-64-3-384-387 ◽

2018 ◽

Vol 64 (3) ◽

pp. 384-387

Author(s):

Viktor Novik ◽

D. Dreval

Keyword(s):

Laser Therapy ◽

Histological Examination ◽

Clinical Data ◽

Surgical Excision ◽

Cytological Diagnosis ◽

Skin Melanoma ◽

Cytological Examination ◽

Melanocytic Tumors ◽

Quality Character ◽

Atypical Nevi

Cytohistological comparisons to the account of the clinical data and revision of cytological and histological preparations on a material received from 21 patients are made. Cytomorphological features of juvenile nevi (Spitz-nevus, Reed-nevus), dysplastic and atypical nevi and early forms of melanoma are described. The establishment at cytological examination of good-quality character of melanocytic defeats at the account of the clinical data could be the basis for appointment laser therapy. At revealing of atypical melanocytes in cytological preparations patients should be referred to specialized oncological institutions for surgical excision of tumor with the subsequent histological examination. Thus cytological examination could be used in dermatological practice as a method of screening pre-malignant melanocytic tumors and skin melanoma.

Download Full-text