Open Science Research Excellence

ICTCB 2018 : International Conference on Types of Cancer Biomarkers

Innsbruck, Austria
January 25 - 26, 2018

Conference Code: 18AT01ICTCB

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICTCB 2018 has teamed up with the Special Journal Issue on Types of Cancer Biomarkers. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   November 30, 2017
Notification of Acceptance/Rejection   December 5, 2017
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 16, 2017
Conference Dates   January 25 - 26, 2018

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Thermalytix: An Advanced Artificial Intelligence Based Solution for Non-Contact Breast Screening
S. Sudhakar, Geetha Manjunath, Siva Teja Kakileti, Himanshu Madhu
2) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
3) MITOS-RCNN: Mitotic Figure Detection in Breast Cancer Histopathology Images Using Region Based Convolutional Neural Networks
Siddhant Rao
4) Absorbed Dose Estimation of 177Lu-DOTATOC in Adenocarcinoma Breast Cancer Bearing Mice
S. Zolghadri, M. Mousavi-Daramoroudi, H. Yousefnia, F. Abbasi-Davani
5) Evolving Digital Circuits for Early Stage Breast Cancer Detection Using Cartesian Genetic Programming
Zahra Khalid, Gul Muhammad Khan, Arbab Masood Ahmad
6) An Approach Based on Statistics and Multi-Resolution Representation to Classify Mammograms
Nebi Gedik
7) Investigation of Wave Atom Sub-Bands via Breast Cancer Classification
Nebi Gedik, Ayten Atasoy
8) Biodistribution Studies of 177Lu-DOTATOC in Mouse Tumor Model: Possible Utilization in Adenocarcinoma Breast Cancer Treatment
M. Mousavi-Daramoroudi, H. Yousefnia, F. Abbasi-Davani, S. Zolghadri, S. Kakaei
9) Breast Cancer Survivability Prediction via Classifier Ensemble
Mohamed Al-Badrashiny, Abdelghani Bellaachia
10) Computer Aided Classification of Architectural Distortion in Mammograms Using Texture Features
Birmohan Singh, V. K. Jain
11) Factors Associated with Mammography Screening Behaviors: A Cross-Sectional Descriptive Study of Egyptian Women
Salwa Hagag Abdelaziz, Naglaa Fathy Youssef, Nadia Abdel Latif Hassan, Rasha Wesam Abdel Rahman
12) Association of Overweight and Obesity with Breast Cancer
Amir Ghasemlouei, Alireza Khalaj
13) Calcification Classification in Mammograms Using Decision Trees
S. Usha, S. Arumugam
14) Use of Gaussian-Euclidean Hybrid Function Based Artificial Immune System for Breast Cancer Diagnosis
Cuneyt Yucelbas, Seral Ozsen, Sule Yucelbas, Gulay Tezel
15) Electro-Thermal Imaging of Breast Phantom: An Experimental Study
H. Feza Carlak, N. G. Gencer

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