… decision support systems have a significant impact on the treatment of colorectal cancer by
providing timely, evidence-based … fused feature maps through additional convolutional layers. …

… lung and colon cancer utilizing a convolutional neural network (CNN). In comparison to
classical ML models as well as deep … for colorectal after feature learning and feature fusion. Its …

… and feature fusion, it attained a colorectal cancer recognition rate of … pulmonary lung cancer
identification employing deep neural … through transfer learning on five distinct deep learning …

… and recognition framework for lung and colon cancer with an accuracy of 96.33%. … clinical
decision support system for screening chest CT images for the presence or absence of lung …

… -DWT reduction and fusion processes are fed to four distinct machine learning algorithms, …
of a decision support mechanism due to both early diagnosis and support to doctors [13,14]. …

… Non-small cell lung cancer is a malignant tumor with the … decision-making ability, and
the proposed medical decision support system framework is superior to other deep learning …

… system was to develop an Android application for maintaining an EHR system and decision
support system using deep learning … lung disease to predict/detect it using a decision support …

… introduced a classification system for discriminating between five types of lung and colon …
An attention-based method was used to improve feature fusion. In the first step, each parallel …

… [8] and colon cancer [9] are identified. The early diagnosis of … -aware representations were
learnt from graph convolutional network (GCN). Deep feature fusion (DFF) was developed in …

… novel DL convolutional neural network (CNN) model for detecting lung and colon cancer.
The … [28] have suggested a method that combines ANN with fusion features and CNN models. …