Excellence in Research and Innovation for Humanity

ICSO 2017 : 19th International Conference on Surgical Oncology

London, United Kingdom
September 21 - 22, 2017

Conference Code: 17UK09ICSO

Conference Proceedings

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

Special Journal Issues

ICSO 2017 has teamed up with the Special Journal Issue on Surgical Oncology. 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   July 31, 2017
Notification of Acceptance/Rejection   August 14, 2017
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   August 21, 2017
Conference Dates   September 21 - 22, 2017

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) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
2) Thermalytix: An Advanced Artificial Intelligence Based Solution for Non-Contact Breast Screening
S. Sudhakar, Geetha Manjunath, Siva Teja Kakileti, Himanshu Madhu
3) Investigating the Impact of the Laundry and Sterilization Process on the Performance of Reusable Surgical Gowns
N. Khomarloo, F. Mousazadegan, M. Latifi, N. Hemmatinejad
4) miR-200c as a Biomarker for 5-FU Chemosensitivity in Colorectal Cancer
Rezvan Najafi, Korosh Heydari, Massoud Saidijam
5) Association of Maternal Diet Quality Indices and Dietary Patterns during Lactation and the Growth of Exclusive Breastfed Infant
Leila Azadbakht, Maedeh Moradi, Mohammad Reza Merasi, Farzaneh Jahangir
6) Extended Shelf Life of Chicken Meat Using Carboxymethyl Cellulose Coated Polypropylene Films Containing Zataria multiflora Essential Oil
Z. Honarvar, M. Farhoodi, M. R. Khani, S. Shojaee-Aliabadi
7) Preparation of Polymer-Stabilized Magnetic Iron Oxide as Selective Drug Nanocarriers to Human Acute Myeloid Leukemia
Kheireddine El-Boubbou
8) Patterns of Malignant and Benign Breast Lesions in Hail Region: A Retrospective Study at King Khalid Hospital
Laila Seada, Ashraf Ibrahim, Amjad Al Shammari
9) Nanomaterial Based Electrochemical Sensors for Endocrine Disrupting Compounds
Gaurav Bhanjana, Ganga Ram Chaudhary, Sandeep Kumar, Neeraj Dilbaghi
10) Changing Patterns of Colorectal Cancer in Hail Region
Laila Salah Seada, Ashraf Ibrahim, Fawaz Al Rashid, Ihab Abdo, Hassan Kasim, Waleed Al Mansi, Saud Al Shabli
11) Investigation of Wave Atom Sub-Bands via Breast Cancer Classification
Nebi Gedik, Ayten Atasoy
12) Maternal and Child Health Care: A Study among the Rongmeis of Manipur, India
Lorho Mary Maheo, Arundhati Maibam Devi
13) 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
14) Prediction of MicroRNA-Target Gene by Machine Learning Algorithms in Lung Cancer Study
Nilubon Kurubanjerdjit, Nattakarn Iam-On, Ka-Lok Ng
15) Predication Model for Leukemia Diseases Based on Data Mining Classification Algorithms with Best Accuracy
Fahd Sabry Esmail, M. Badr Senousy, Mohamed Ragaie

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