The Tenth IEEE International Conference on Machine
Learning and Applications (ICMLA 2011)


Honolulu, Hawaii, USA      18-21 Dec. 2011

Special Session Call for Papers


Special Session on

Machine Learning Methods in Cancer Diagnosis and Treatment



Cancer is a leading cause of death worldwide and can affect people at all ages.  It is responsible for about 13% of all deaths in the world.  It is known that early diagnosis improves cancer treatment outcomes. Additionally, there are different treatment modalities, such as surgery, chemotherapy, radiotherapy, targeted gene therapy or combinations of these. The majority of cancer patients receive chemotherapy and radiotherapy as part of their care. Patients tend to respond differently to standard care. This is due to complex interactions between the treatment method, disease, and patient’s bio-profile.  Moreover, radiotherapy involves the use of external high-energy radiation beams or radioactive sources to kill cancer cells, while sparing nearby normal tissues. Computational techniques, such as Machine Learning (ML) techniques, have been increasingly used in diagnosis and prognosis of cancer, by helping to accurately detect an and localize the tumors in images, precisely target the therapy to the tumors, analyze treatment outcomes, and improve treatment quality and patient safety. This session aims to provide a platform to present and discuss recent advancements in the application of ML methods in the cancer field.




This session would solicit original research papers on cancer detection and modeling treatment outcomes (radiotherapy, chemotherapy, etc.) of cancer patients as well as on general application of ML in cancer, including but not limited to the following topics:

­    Detection of cancer lesions in diagnostic images

­    Computer-aided diagnosis of cancer

­    Treatment outcomes modeling using linear and nonlinear kernel-based models

­    Extraction of cancer prognostic factors from clinically and biologically relevant data

­    Analysis of high through-put biotechnology data (genomics and proteomics) related to cancer diagnosis and prognosis

­    Treatment metrics and biomarkers methods for predicting outcomes

­    Imaging patterns as predictor of diagnosis and response

­    Image guided and adaptive radiotherapy

­    Medical image segmentation and analysis

­    Machine learning to support diagnosis

­    Analysis and prediction of anatomical motion

­    Gating of respiratory motion

­    Treatment outcome analysis

­    Treatment quality assurance






Paper Submission Deadline:                           July 15, 2011
Notification of acceptance:                             September 2, 2011
Camera-ready papers, Pre-registration:         October 1, 2011
The ICMLA Conference:                                  December 18-21, 2011


The special session will be held as a part of the ICMLA’11 conference. The authors would submit papers through the main conference submission website. Papers must correspond to the requirements detailed in the instructions to authors. Accepted papers must be presented by one of the authors to be published in the conference proceeding. Presented abstracts to send complete manuscripts to be published in a special issue of the new journal for radiation oncology informatics (JROI). If you have any questions, do not hesitate to direct your questions to or any of the program committee members below.

All conference submissions will be handled electronically. Detailed instructions for submitting the papers are provided on the conference home page at:



Program Committee Members:

·         Dr. Issam El Naqa, McGill University, Canada

·         Dr. Jung Hun Oh, Memorial Sloan Kettering Cancer Center, New York, USA

·         Dr. Ruijiang Li, Stanford, Palo Alto, USA

·         Dr. John Kildea, McGill University, Canada

·         Dr. Paul Putora, Kantonsspital St. Gallen, Switzerland

·         Dr. Andre Dekker, MAASTRO Clinic, Netherlands

·         Dr. Martin J. Murphy, Virginia Commonwealth University