Melanoma skin cancer is the most life-threatening and fatal disease among family of diseases. Modern technological developments research methodologies made it possible to detect identify this kind more effectively; however, automated localization segmentation lesion at earlier stages still a challenging task due low contrast between melanoma moles portion higher level color similarity melanoma-affected -nonaffected areas. In paper, we present fully method for segmenting its earliest stage by...

A brain tumor is an abnormal growth in cells that causes damage to various blood vessels and nerves the human body. An earlier accurate diagnosis of foremost important avoid future complications. Precise segmentation tumors provides a basis for surgical planning treatment doctors. Manual detection using MRI images computationally complex cases where survival patient dependent on timely treatment, performance relies domain expertise. Therefore, computerized still challenging task due...

Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening-based treatment can save the patient from vision loss. Accurate screening procedures are dependent on availability of human experts who performs manual analysis retinal samples identify glaucomatous-affected regions. However, complex shortage resources, we often face delays which increase loss ratio around globe. To...

Diabetic retinopathy (DR) is an eye disease that alters the blood vessels of a person suffering from diabetes. macular edema (DME) occurs when DR affects macula, which causes fluid accumulation in macula. Efficient screening systems require experts to manually analyze images recognize diseases. However, due challenging nature method and lack trained human resources, devising effective screening-oriented treatment expensive task. Automated are trying cope with these challenges; however,...

Diabetic patients are at the risk of developing different eye diseases i.e., diabetic retinopathy (DR), macular edema (DME) and glaucoma. DR is an disease that harms retina DME developed by accumulation fluid in macula, while glaucoma damages optic disk causes vision loss advanced stages. However, due to slow progression, shows few signs early stages, hence making detection a difficult task. Therefore, fully automated system required support screening process In this paper, localization...

Abstract Tomato plants' disease detection and classification at the earliest stage can save farmers from expensive crop sprays assist in increasing food quantity. Although, extensive work has been presented by researcher for tomato plant classification, however, timely localization identification of various leaf diseases is a complex job as consequence huge similarity among healthy affected portion leaves. Furthermore, low contrast information between background foreground suspected sample...

Abstract Melanoma is the most fatal type of skin cancer which can cause death victims at advanced stage. Extensive work has been presented by researcher on computer vision for lesion localization. However, correct and effective melanoma segmentation still a tough job because extensive variations found in shape, color, sizes moles. Moreover, presence light brightness further complicates task. We have improved deep learning (DL)‐based approach, namely, DenseNet77‐based UNET model. More...

The presence of various maize plant leaf diseases has significantly decreased both the quality and quantity crop production. In order to take appropriate steps prevent occurrence diseases, it is essential track recognize such infections during planting period. However, correct recognition numerous difficult achieve because currently employed automated solutions are operationally complicated or only effective on samples with plain backgrounds. While real-world scenarios suffering from huge...

The competence of machine learning approaches to carry out clinical expertise tasks has recently gained a lot attention, particularly in the field medical-imaging examination. Among most frequently used clinical-imaging modalities healthcare profession is chest radiography, which calls for prompt reporting existence potential anomalies and illness diagnostics images. Automated frameworks recognition abnormalities employing X-rays are being introduced health departments. However, reliable...

Today, everyone is highly dependent on the internet. Everyone performed online shopping and activities such as Bank, booking, recharge more Phishing a type of website threat phishing Illegally original Information login id, password information credit card. This paper proposed an efficient machine learning based detection technique. Overall, experimental results show that technique, when integrated with Support vector classifier, has best performance accurately distinguishing 95.66%...

Predicting stock market prices is an important and interesting task in academic financial research. The volatile nature of the means that predicting a challenging task. However, recent advancements machine learning, especially deep learning techniques, have made it possible for researchers to use such techniques predict future trends based on historical data, social media news, technical indicators (STIs). This work focused prediction closing using ten years Yahoo Finance data renowned...

The potato plant is amongst the most significant vegetable crops farmed worldwide. output of crop production significantly reduced by various leaf diseases, which poses a danger to world’s agricultural in terms both volume and quality. two destructive foliar infections for plants are early late blight triggered Alternaria solani Phytophthora infestans. In actuality, farm owners predict these problems focusing primarily on alteration color leaves, typically problematic owing uncertainty time...

The brain tumor is a deadly disease that caused by the abnormal growth of cells, which affects human blood cells and nerves. Timely precise detection tumors an important task to avoid complex painful treatment procedures, as it can assist doctors in surgical planning. Manual time-consuming activity highly dependent on availability area experts. Therefore, need hour design accurate automated systems for classification various types tumors. However, exact localization categorization...

Diabetes is a metabolic disorder that results in retinal complication called diabetic retinopathy (DR) which one of the four main reasons for sightlessness all over globe. DR usually has no clear symptoms before onset, thus making disease identification challenging task. The healthcare industry may face unfavorable consequences if gap identifying not filled with effective automation. Thus, our objective to develop an automatic and cost-effective method classifying samples. In this work, we...

Glaucoma is a fatal eye disease that harms the optic disc (OD) and cup (OC) results into blindness in progressed phases. Because of slow progress, exhibits small number symptoms initial stages, therefore causing identification to be complicated task. So, fully automatic framework mandatory, which can support screening process increase chances detection early stages. In this paper, we deal with localization segmentation OD OC for glaucoma from blur retinal images. We have presented novel...