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 skin tissue


Deep Learning-Driven Heat Map Analysis for Evaluating thickness of Wounded Skin Layers

GR, Devakumar, Kaarthikeyan, JB, T, Dominic Immanuel, Pravin, Sheena Christabel

arXiv.org Artificial Intelligence

Understanding the appropriate skin layer thickness in wounded sites is an important tool to move forward on wound healing practices and treatment protocols. Methods to measure depth often are invasive and less specific. This paper introduces a novel method that is non-invasive with deep learning techniques using classifying of skin layers that helps in measurement of wound depth through heatmap analysis. A set of approximately 200 labeled images of skin allows five classes to be distinguished: scars, wounds, and healthy skin, among others. Each image has annotated key layers, namely the stratum cornetum, the epidermis, and the dermis, in the software Roboflow. In the preliminary stage, the Heatmap generator VGG16 was used to enhance the visibility of tissue layers, based upon which their annotated images were used to train ResNet18 with early stopping techniques. It ended up at a very high accuracy rate of 97.67%. To do this, the comparison of the models ResNet18, VGG16, DenseNet121, and EfficientNet has been done where both EfficientNet and ResNet18 have attained accuracy rates of almost 95.35%. For further hyperparameter tuning, EfficientNet and ResNet18 were trained at six different learning rates to determine the best model configuration. It has been noted that the accuracy has huge variations with different learning rates. In the case of EfficientNet, the maximum achievable accuracy was 95.35% at the rate of 0.0001. The same was true for ResNet18, which also attained its peak value of 95.35% at the same rate. These facts indicate that the model can be applied and utilized in actual-time, non-invasive wound assessment, which holds a great promise to improve clinical diagnosis and treatment planning.


Bizarre humanoid robot with a face made out of living skin tissue is created by researchers in Japan

Daily Mail - Science & tech

In sci-fi films like Alien, humanoid robots are so lifelike that it's almost impossible to tell them from a real person. Now, scientists in Japan are on their way to creating real-life versions of these realistic machines. The experts from the University of Tokyo have created a robotic face out of lab-grown human skin. Creepy video shows the bizarre pink creation attempting a cheesy smile. According to the scientists, robots with real skin not only have an'increasingly lifelike appearance' but could heal themselves if damaged. In sci-fi films like Alien, humanoid robots are so realistic that it's almost impossible to tell them from a real human - at least until you see their innards.


Central Saint Martins college student wants to use Alexander McQueen's DNA to make bag

Daily Mail - Science & tech

Some designers might say their collections contain a little piece of each artist who has influenced them in their work. But none can mean this as literally as Tina Gorjanc, a fashion student from Central Saint Martins college in London. Ms Gorjanc has designed a collection of handbags and jackets, which she wants to make using leather cultivated from Alexander McQueen's own DNA. Tina Gorjanc, a fashion student from Central Saint Martins college in London, has designed a collection of handbags and jackets, which she wants to make using leather cultivated from Alexander McQueen's own DNA The'Pure Human' project envisions using DNA from McQueen's graduation collection from the same college, called'Jack the Ripper Stalks His Victims'. The cells would be taken from the hair and placed in a culture.