[PDF][PDF] Cancer classification using neural network
S Mandal, I Banerjee - International Journal, 2015 - academia.edu
Naturally, cells in human body grow and divide in a controlled way to produce more cells to
maintain health. Cancer affects human body when abnormal cells divide without control and …
maintain health. Cancer affects human body when abnormal cells divide without control and …
Proposing method to Increase the detection accuracy of stomach cancer based on colour and lint features of tongue using CNN and SVM
E Gholami, SRK Tabbakh, M Kheirabadi - arXiv preprint arXiv:2011.09962, 2020 - arxiv.org
Today, gastric cancer is one of the diseases which affected many people's life. Early
detection and accuracy are the main and crucial challenges in finding this kind of cancer. In …
detection and accuracy are the main and crucial challenges in finding this kind of cancer. In …
Synthesizing and photoluminescence properties of Eu3+-doped germanate and Dy3+-doped silicate hosts
E Öztürk, E Karacaoglu, E Uzun - Journal of Luminescence, 2018 - Elsevier
Abstract The Eu 3+-doped germanate (Mg 4 GeO 6 and Ba 2 GeO 4) and Dy 3+-doped
silicate (Li 3 SiO 4) hosts were prepared by solid state reaction in this study. Dy 3+-ion for …
silicate (Li 3 SiO 4) hosts were prepared by solid state reaction in this study. Dy 3+-ion for …
Synthesis of LiDyO2 by Solid-State Reaction Process and Study of Reaction Kinetics by Using TG-DTA and XRD Techniques
Lithium-doped dysprosium oxide (LiDyO2) is a potential material for high-temperature
applications of solid-state batteries. Experiments were conducted to synthesize LiDyO2 by …
applications of solid-state batteries. Experiments were conducted to synthesize LiDyO2 by …
Neural network based gene regulatory network reconstruction
Gene Regulatory Networks (GRN) is used to model the regulations in living organisms.
Inferring genetic network from different experimental high throughput biological data (like …
Inferring genetic network from different experimental high throughput biological data (like …
[PDF][PDF] Automated age prediction using wrinkles features of facial images and neural network
Automated age estimation is an important processing task that serves many purposes such
as surveillance monitoring, marketing of products, authentication systems, find out the …
as surveillance monitoring, marketing of products, authentication systems, find out the …
[PDF][PDF] AI based Automated Diagnosis of COVID-19 Patients
S Mandal, S Mallick, A Roy, A Paul - International Journal of Computer … - researchgate.net
ABSTRACT The recent Corona Virus Disease 2019 (COVID-19) pandemic has placed
severe stress on healthcare systems worldwide, which is amplified by the critical shortage of …
severe stress on healthcare systems worldwide, which is amplified by the critical shortage of …
[PDF][PDF] A SURVEY ON CANCER CLASSIFICATION USING SOFT COMPUTING TECHNIQUES
J Sudha, M Ishwarya - 2018 - ijrar.org
In image processing domain plays a vital part of real time applications in modern world.
Such image processing technique helps to carry process on the digitized image to provide …
Such image processing technique helps to carry process on the digitized image to provide …
[PDF][PDF] Heart Diseases Diagnosis using Dominance based rough set
SA Ibraheem, HMA Kader, I Selim, R Hussein - Heart, 2015 - academia.edu
in the last few years, the use of expert system as intelligent systems in fields of medical
diagnoses, and diseases treatments has extremely increased. the early and accurate …
diagnoses, and diseases treatments has extremely increased. the early and accurate …