Efficient deep learning model for mitosis detection using breast histopathology images
Texte intégral
Figure
Documents relatifs
Segmentation results of acne images from a free public database [9] show the effectiveness of this new approach for automatic acne detection, which is of great
Estimating babassu palm density using automatic palm tree detection with very high spatial resolution satellite images... [email protected], [email protected],
Access and use of this website and the material on it are subject to the Terms and Conditions set forth at Automatic detection of microaneurysms and haemorrhages in fundus
In order to perform novelty detection with vector quantization, we use the difference between the sub-images of the new image from the sensor and the corresponding best matching
Tourneret, A new multivariate statistical model for change detection in images acquired by homogeneous and heterogeneous sensors, IEEE Trans. Loreaux, MIMOSA: An automatic
Figure 1: Performance of RetinaNet flank detection. a) Number of identified flanks per image. b) Manual classification of cropping problems encountered in 186 images where
Human Computer Interaction, Facial Expression Recognition, landmark detection Convolutional Neural Network, Deep
Qian [17], developed a graph based semi-supervised learning (SSL) scheme using deep convolutional neural net- work (CNN) for breast cancer diagnosis with a small portion of labeled