Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

Producing manual, pixel-accurate, image segmentation labels is tedious and time-
consuming. This is often a rate-limiting factor when large amounts of labeled images are …

To mitigate the challenges of operating through narrow incisions under image guidance,
there is a desire to develop intelligent systems that assist decision making and spatial …

We present a method to generate synthetic thorax radiographs with realistic nodules from
CT scans, and a perfect ground truth knowledge. We evaluated the detection performance of …

Automating the classification of camera-obtained microscopic images of White Blood Cells
(WBCs) and related cell subtypes has assumed importance since it aids the laborious …

With the rapid growth and increasing use of brain MRI, there is an interest in automated
image classification to aid human interpretation and improve workflow. We aimed to train a …

Trauma and orthopedic surgeries that involve fluoroscopic guidance crucially depend on the
acquisition of correct anatomy-specific standard projections for monitoring and evaluating …

Fluoroscopy-guided trauma and orthopedic surgeries involve the repeated acquisition of
correct anatomy-specific standard projections for guidance, monitoring, and evaluating the …

The first step toward Seed Certification, a mechanism to ensure high quality of the seed and
propagate materials of superior adapted crop varieties is the identification of seed type. A …

Seed phenoty** is the idea of analyzing the morphometric characteristics of a seed to
predict the behavior of the seed in terms of development, tolerance and yield in various …