Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images

Author(s):  
Zongyuan Ge ◽  
Sergey Demyanov ◽  
Rajib Chakravorty ◽  
Adrian Bowling ◽  
Rahil Garnavi
2020 ◽  
pp. 47-58

This chapter examines how pattern recognition can be helpful as part of the approach to the assessment of a child presenting with a rash or lesion(s). It begins with a glossary of common patterns, shapes, and distributions of skin disease with examples and links to relevant detail in later chapters. Some of the more common patterns of skin diseases such as annular, linear, segmental, and serpiginous rashes are expanded upon further, with a differential diagnosis offered including common, less common, and rarer causes. Through the use of illustrations and examples, the chapter also examines important distributions, such as acral rashes, and the differential diagnoses for such cases. Clinical images and diagrams are included throughout the chapter and link to the relevant text for further explanation.


2021 ◽  
Author(s):  
Kedir Ali Muhaba ◽  
Kokeb Dese ◽  
Tadele Mola Aga ◽  
Feleke Tilahun Zewdu ◽  
Gizeaddis Lamesgin Simegn

Abstract Background Skin diseases are the fourth most common cause of human illness which results enormous non-fatal burden in daily life activities. They are caused by chemical, physical and biological factors. Visual assessment in combination with clinical information is the common diagnosis procedure for the diseases. However, these procedures are manual, time consuming, and require experience and excellent visual perception. Methods In this study, an automated system is proposed for diagnosis of five common skin diseases by using data from clinical images and patient information using deep learning pretrained mobilenet-v2 model. Clinical images were acquired using different smartphone cameras and patient’s information were collected during patient registration. Different data preprocessing and augmentation techniques were applied to boost the performance of the model prior to training. Results A multiclass classification accuracy of 97.5%, sensitivity of 97.7% and precision of 97.7% has been achieved using the proposed technique for the common five skin disease. The results demonstrate that, the developed system provides excellent diagnosis performance for the five skin diseases. Conclusion The system has been designed as a smartphone application and it has a potential to be used as a decision support system in low resource settings, where both the expert dermatologist and the means is limited.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 66505-66511 ◽  
Author(s):  
Zhe Wu ◽  
Shuang Zhao ◽  
Yonghong Peng ◽  
Xiaoyu He ◽  
Xinyu Zhao ◽  
...  

Author(s):  
S. Trachtenberg ◽  
P.M. Steinert ◽  
B.L. Trus ◽  
A.C. Steven

During terminal differentiation of vertebrate epidermis, certain specific keratin intermediate filament (KIF) proteins are produced. Keratinization of the epidermis involves cell death and disruption of the cytoplasm, leaving a network of KIF embedded in an amorphous matrix which forms the outer horny layer known as the stratum corneum. Eventually these cells are shed (desquamation). Normally, the processes of differentiation, keratinization, and desquamation are regulated in an orderly manner. In psoriasis, a chronic skin disease, a hyperkeratotic stratum corneum is produced, resulting in abnormal desquamation of unusually large scales. In this disease, the normal KIF proteins are diminished in amount or absent, and other proteins more typical of proliferative epidermal cells are present. There is also evidence of proteolytic degradation of the KIF.


1997 ◽  
Vol 22 (03) ◽  
pp. 128-133
Author(s):  
A.J. HARRIS ◽  
D. DEAN ◽  
S. BURGE ◽  
F. WOJNAROWSKA

Nature ◽  
2010 ◽  
Author(s):  
Ewen Callaway
Keyword(s):  

Author(s):  
Hiroo Kimura ◽  
Akira Toga ◽  
Taku Suzuki ◽  
Takuji Iwamoto

Abstract Background Fracture-dislocations of all four ulnar (second to fifth) carpometacarpal (CMC) joints are rare hand injuries and frequently overlooked or missed. These injuries can be treated conservatively when closed reduction is successfully achieved, though they are sometimes irreducible and unstable. Case Description We report the case of a 17-year-old boy involved in a vehicular accident. Clinical images showed dorsal dislocation of all four ulnar CMC joints of the left hand associated with a fracture of the base of the fourth metacarpal. Although closed reduction was attempted immediately, the affected joints remained unstable and easily redislocated. Therefore, we performed open reduction and percutaneous fixation of all ulnar CMCs. He showed excellent recovery after 1 year postoperatively, reported no pain, and demonstrated complete grip strength and range of motion of the affected wrist and fingers. Literature Review Accurate clinical diagnosis of this lesion is difficult because of polytrauma, severe swelling masking the dislocated CMC joint deformity, and overlapping of adjacent metacarpals and carpal bones on radiographic examination. As for the treatment strategy, it has yet to obtain a consensus. Some reports value open reduction to guarantee anatomical reduction, and it is definitely needed in the patients with interposed tissues to be removed or with subacute and chronic injuries. Clinical Relevance Delayed diagnosis or treatment could lead to poor outcomes. Therefore, surgeons must be aware that precise preoperative assessment is critical, and anatomical open reduction of interposed bony fragments, like our case, may be required even in an acute phase.


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