Method and system for intracerebral hemorrhage detection and segmentation based on a multi-task fully convolutional network

A method for detecting an intracerebral hemorrhage (ICH), comprising:

• receiving a sequence of image slices and an end-to-end multi-task learning model, the sequence of image slices being head scan images of a subject acquired by an image acquisition device, the end-to-end multi-task learning model comprising an encoder, a bi-directional Convolutional Recurrent Neural Network (ConvRNN), a decoder, and a classifier;
• extracting, by at least one processor, feature maps from each image slice using the encoder;
• capturing, by the at least one processor, contextual information between adjacent image slices using the bi-directional ConvRNN;
• and
• detecting, by the at least one processor, the ICH of the subject using the classifier based on the extracted feature maps of the image slices and the contextual information or segmenting, by the at least one processor, each image slice using the decoder to obtain an ICH region based on the extracted feature maps of the image slice.

A non-transitory computer-readable medium having a computer program stored thereon, wherein the computer program, when executed by at least one processor, performs a method for detecting an intracerebral hemorrhage (ICH), the method comprising:

• receiving a sequence of image slices and an end-to-end multi-task learning model, the sequence of image slices being head scan images of a subject acquired by an image acquisition device, the end-to-end multi-task learning model comprising an encoder, a bi-directional Convolutional Recurrent Neural Network (ConvRNN), a decoder, and a classifier;
• extracting feature maps from each image slice using the encoder;
• capturing contextual information between adjacent image slices using the bi-directional ConvRNN;
• and
• detecting the ICH of the subject using the classifier based on the extracted feature maps of the image slices and the contextual information or segmenting each image slice using the decoder to obtain an ICH region based on the extracted feature maps of the image slice.