A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected regions from only one or a few labeled samples.

Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

A reverse image search can give you more info about any picture you see online, and you can do it right on your iPhone. Here's how. Open Safari and head to Google Images. Start your search adventure ...

Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...

@article{LossOdyssey, title = {Loss Odyssey in Medical Image Segmentation}, journal = {Medical Image Analysis}, volume = {71}, pages = {102035}, year = {2021}, author = {Jun Ma and Jianan Chen and ...

Semantic segmentation is a core task in computer vision, essential for applications requiring detailed scene understanding, such as medical imaging, precision agriculture, and remote sensing. Recent ...

The Wider Image | The home for Reuters in-depth visual storytelling @reuterspictures ...