AIMC Topic: Kidney

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[Successful laparoscopic robot-assisted surgical treatment of bilateral ureterosciatic hernias (Lindbom's hernia) and pelvic kidney].

Aktuelle Urologie
Ureterosciaic hernia is a rarely described pathology that represents a diagnostic and therapeutic challenge for the treating physician. In this case report, we present a patient with symptomatic bilateral ureteroschial hernias and a pelvic kidney on ...

A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images.

Computer methods and programs in biomedicine
Previously, doctors interpreted computed tomography (CT) images based on their experience in diagnosing kidney diseases. However, with the rapid increase in CT images, such interpretations were required considerable time and effort, producing inconsi...

Deep learning kidney segmentation with very limited training data using a cascaded convolution neural network.

PloS one
BACKGROUND: Deep learning segmentation requires large datasets with ground truth. Image annotation is time consuming and leads to shortages of ground truth data for clinical imaging. This study is to investigate the feasibility of kidney segmentation...

A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images.

Computer methods and programs in biomedicine
This paper proposes an encoder-decoder architecture for kidney segmentation. A hyperparameter optimization process is implemented, including the development of a model architecture, selecting a windowing method and a loss function, and data augmentat...

Molecular Visualization of Early-Stage Acute Kidney Injury with a DNA Framework Nanodevice.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
DNA nanomachines with artificial intelligence have attracted great interest, which may open a new era of precision medicine. However, their in vivo behavior, including early diagnosis and therapeutic effect are limited by their targeting efficiency. ...

Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.

Journal of nephrology
BACKGROUND: Transplant nephropathology is a highly specialized field of pathology comprising both the evaluation of organ donor biopsy for organ allocation and post-transplant graft biopsy for assessment of rejection or graft damage. The introduction...

Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images.

Medical image analysis
Deep learning consistently demonstrates high performance in classifying and segmenting medical images like CT, PET, and MRI. However, compared to these kinds of images, whole slide images (WSIs) of stained tissue sections are huge and thus much less ...

Deep learning approach identified a gene signature predictive of the severity of renal damage caused by chronic cadmium accumulation.

Journal of hazardous materials
Epidemiology studies have indicated that environmental cadmium exposure, even at low levels, will result in chronic cadmium accumulation in the kidney with profound adverse consequences and that the diabetic population is more susceptible. However, t...