AIMC Topic: Humans

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Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy.

The Journal of investigative dermatology
Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases diagnosed annually in the United States. Conventionally, BCC is diagnosed by naked eye examination and dermoscopy. Suspicious lesions are either removed or biopsied ...

Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning.

European radiology
OBJECTIVES: Multiple b-value gas diffusion-weighted MRI (DW-MRI) enables non-invasive and quantitative assessment of lung morphometry, but its long acquisition time is not well-tolerated by patients. We aimed to accelerate multiple b-value gas DW-MRI...

Robotics in orthopaedic surgery: why, what and how?

Archives of orthopaedic and trauma surgery
INTRODUCTION: Robotics applied to orthopedics has become an interesting topic both from the surgical point of view and the engineering one. The main goal of those systems is the enhancement of joint arthroplasty surgery, providing the robotic support...

Exoskeleton robots for lower limb assistance: A review of materials, actuation, and manufacturing methods.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
The field of robot-assisted physical rehabilitation and robotics technology for providing support to the elderly population is rapidly evolving. Lower limb robot aided rehabilitation and assistive technology have been a focus for the engineering comm...

An efficient encoder-decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data.

Neural networks : the official journal of the International Neural Network Society
Depth estimation from a single image frame is a fundamental challenge in computer vision, with many applications such as augmented reality, action recognition, image understanding, and autonomous driving. Large and diverse training sets are required ...

ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features.

Computer methods and programs in biomedicine
Background and Objective Electrocardiogram (ECG) quality assessment is significant for automatic diagnosis of cardiovascular disease and reducing the massive workload of reviewing continuous ECGs. Hence, how to design an appropriate algorithm for obj...

Farm robots: ecological utopia or dystopia?

Trends in ecology & evolution
Farm robots may lead to an ecological utopia where swarms of small robots help in overcoming the yield penalties and labor requirements associated with agroecological farming - or a dystopia with large robots cultivating monocultures. Societal discus...

[Robotic hernia repair : Part II: Robotic primary ventral and incisional hernia repair (rv-TAPP and r-Rives or r-TARUP). Video report and results of a series of 118 patients].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen
Endoscopic management of umbilical and incisional hernias has adapted to the limitations of conventional laparoscopic instruments over the past 30 years. This includes the development of meshes for intraperitoneal placement (intraperitoneal onlay mes...

An Unsupervised Learning-Based Spatial Co-Location Detection System from Low-Power Consumption Sensor.

Sensors (Basel, Switzerland)
Spatial co-location detection is the task of inferring the co-location of two or more objects in the geographic space. Mobile devices, especially a smartphone, are commonly employed to accomplish this task with the human object. Previous work focused...