CAIMAN (CAncer IMage ANalysis: http://www.caiman.org.uk) is an online algorithm repository that provides specifically designed algorithms to analyse the images produced by experiments relevant to Cancer Research and Life Sciences, especially vascular biology. CAIMAN is accessed through a user-friendly website where researchers can upload their images and the results are returned by email. CAIMAN does not intend to replace more sophisticated software solutions such as ImageJ, Matlab, or commercial packages, but it will provide a first stop where any researcher can upload images and can obtain quantitative results without having to do any programming at all
Cancer is one of the major health problems in Malaysia. This disease has become increasingly importa...
Medical imaging has been applied widely in many clinical diagnoses to detect and differentiate abnor...
Background and purposeIn comparison to conventional medical imaging diagnostic modalities, the aim o...
CAIMAN (CAncer IMage ANalysis: http://www.caiman.org.uk) is an online algorithm repository that prov...
CAIMAN (CAncer IMage ANalysis: http://www.caiman.org.uk) is an online algorithm repository that prov...
Background: Cancer-related research, as indicated by the number of entries in Medline, the National ...
Statistical methods from machine learning have been key to the progress of computer vision in recent...
The various hurdles in machine learning are beaten by deep learning techniques and then the deep lea...
This document presents the CAIMAN Project medical image database for JPEG commitee evaluation works ...
The role of medical image computing in oncology is growing stronger, not least due to the unpreceden...
Cancer causes death of about million people every year. Cancer is the frequently recognized and is t...
Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analys...
Skin cancer is a term given to the uncontrolled growth of strange skin cells. It occurs whenever unr...
A large number of persecutors have been interested in computer vision research. It evolves from the ...
International audienceFiji is a distribution of the popular open-source software ImageJ focused on b...
Cancer is one of the major health problems in Malaysia. This disease has become increasingly importa...
Medical imaging has been applied widely in many clinical diagnoses to detect and differentiate abnor...
Background and purposeIn comparison to conventional medical imaging diagnostic modalities, the aim o...
CAIMAN (CAncer IMage ANalysis: http://www.caiman.org.uk) is an online algorithm repository that prov...
CAIMAN (CAncer IMage ANalysis: http://www.caiman.org.uk) is an online algorithm repository that prov...
Background: Cancer-related research, as indicated by the number of entries in Medline, the National ...
Statistical methods from machine learning have been key to the progress of computer vision in recent...
The various hurdles in machine learning are beaten by deep learning techniques and then the deep lea...
This document presents the CAIMAN Project medical image database for JPEG commitee evaluation works ...
The role of medical image computing in oncology is growing stronger, not least due to the unpreceden...
Cancer causes death of about million people every year. Cancer is the frequently recognized and is t...
Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analys...
Skin cancer is a term given to the uncontrolled growth of strange skin cells. It occurs whenever unr...
A large number of persecutors have been interested in computer vision research. It evolves from the ...
International audienceFiji is a distribution of the popular open-source software ImageJ focused on b...
Cancer is one of the major health problems in Malaysia. This disease has become increasingly importa...
Medical imaging has been applied widely in many clinical diagnoses to detect and differentiate abnor...
Background and purposeIn comparison to conventional medical imaging diagnostic modalities, the aim o...