Breast cancer therapy is particularly complex. Case- based reasoning (CBR) is an approach that can support clinicians when prescribing a therapy, and that is able to explain its recommendation to the clinicians. In a previous work, we proposed a visual CBR approach for helping clinicians to choose a treatment between four main categories (surgery, chemother- apy,...). However, these are broad categories and clinicians need more details about the treatment, e.g. several surgeries exist such as lumpectomy. Here, we extend our visual CBR approach for fully supporting the therapy for breast cancer, using a hierarchical approach: first, decide the category, then decide the exact treatment, etc
International audienceDecision support is a probabilistic and quantitative method designed for model...
Longstanding limitations of traditional bone grafting treatment methods have led to the development ...
Objective: Medical applications have special features (interpretation of results in medical metrics,...
International audienceCase-Based Reasoning (CBR) is a form of analogical reasoning in which the solu...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper presents t...
The objective for this thesis is to develop an intelligent decision support application for diagnosi...
In medical field, it is very difficult to get correctDiagnosis because there are many possible disea...
ABSTRACT One of the fundamental issues in bridging the gap between the proliferation of Content-Base...
Abstract—Breast cancer is the second most common form of cancer amongst females and also the fifth m...
Case-Based Reasoning (CBR) is a form of analogical reasoning in which the information for a (new) qu...
Breast Cancer is the most common invasive cancer in women worldwide. Indeed, it is imperative to inv...
Radiotherapy planning is a complex problem which requires both expertise and experience of an oncolo...
Background: Active research is being conducted to determine the prognosis for breast cancer. However...
Breast cancer is the most common and mortal carcinosis in women and thus a major topic in clinical o...
DESIREE is a European-funded project to improve the management of primary breast cancer. We have dev...
International audienceDecision support is a probabilistic and quantitative method designed for model...
Longstanding limitations of traditional bone grafting treatment methods have led to the development ...
Objective: Medical applications have special features (interpretation of results in medical metrics,...
International audienceCase-Based Reasoning (CBR) is a form of analogical reasoning in which the solu...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper presents t...
The objective for this thesis is to develop an intelligent decision support application for diagnosi...
In medical field, it is very difficult to get correctDiagnosis because there are many possible disea...
ABSTRACT One of the fundamental issues in bridging the gap between the proliferation of Content-Base...
Abstract—Breast cancer is the second most common form of cancer amongst females and also the fifth m...
Case-Based Reasoning (CBR) is a form of analogical reasoning in which the information for a (new) qu...
Breast Cancer is the most common invasive cancer in women worldwide. Indeed, it is imperative to inv...
Radiotherapy planning is a complex problem which requires both expertise and experience of an oncolo...
Background: Active research is being conducted to determine the prognosis for breast cancer. However...
Breast cancer is the most common and mortal carcinosis in women and thus a major topic in clinical o...
DESIREE is a European-funded project to improve the management of primary breast cancer. We have dev...
International audienceDecision support is a probabilistic and quantitative method designed for model...
Longstanding limitations of traditional bone grafting treatment methods have led to the development ...
Objective: Medical applications have special features (interpretation of results in medical metrics,...