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Genetic mutations are the first warning to the onset of lung cancer. The ability to early predict these mutations could open the door for a targeted treatment options for lung cancer patients. Three top candidate genes previously reported to have the highest frequency of lung cancer mutations. Each gene is encoded as a symbolic sequence of four letters. A novel method for gene representation is introduced...
The proposed system aims to detect the lung nodules from a series of CT scan images. Otsu's thresholding and morphological operations are applied for nodules segmentation. After segmentation, the objects that do not hold the possibility to be nodules are removed. Geometric, histogram as well as texture features are then extracted for benign and malignant nodules classification. Multilayer Perceptron...
Early lung cancer identification is a very promising way to prevent and cure lung cancer. The current lung cancer identification method based on the X-ray computed tomography difficultly identify the early lung cancer, while the electrical resistance tomography (ERT) technique has potential to overcome the problem by visualizing the human respiratory system. The original ERT system has poor quality...
Characterization of lung nodules as benign or malignant is one of the most important tasks in lung cancer diagnosis, staging and treatment planning. While the variation in the appearance of the nodules remains large, there is a need for a fast and robust computer aided system. In this work, we propose an end-to-end trainable multi-view deep Convolutional Neural Network (CNN) for nodule characterization...
Treating cancer in the early stages provide more treatment options, less invasive surgery and increases the survival rate. Locating lung cancer as well as liver cancer at an early stage is the challenging task since there are few symptoms in this stage and majority of the cases are diagnosed in the later stages. Now a day's Image processing techniques are widely used in earlier detection and treatment...
Early lung cancer detection with suitable treatment can significantly reduce cancer-related death rates. This paper presents a single frequency holographic electromagnetic induction (HEI) imaging method for small lung tumor detection in human thorax models. A numerical system is developed to study the feasibility of early lung tumor detection. The system includes various realistic tumors within a...
Traditional Cox proportional hazard model for survival analysis are based on structured features like patients' sex, smoke years, BMI, etc. With the development of medical imaging technology, more and more unstructured medical images are available for diagnosis, treatment and survival analysis. Traditional survival models utilize these unstructured images by extracting human-designed features from...
The paper presents analysis, design and implementation of cupcake ultra-wide band antenna for lung cancer detection. The antenna is fabricated on Rogers RO4350 (lossy) material of relative permittivity 3.66 and substrate layer of thickness 1.524 mm. A lung model is presented comprising the lung tissues, pleura, muscles, fats and the skin. The antenna is simulated on CST microwave studio. There is...
Currently, cancer is a leading cause of death worldwide. One of the most common causes of cancer death are lung cancer. We implemented a lung cancer detection using Sugeno Fuzzy Logic method. We use PHP to construct a website based of an expert system and MySQL for our database collection. The source of our data used to build the expert system are collected from many literature studies related to...
The lung cancer is the reason of a lot of deaths on population around the world. An early diagnosis brings a most curable and simpler treatment options. Due to complexity diagnosis of small pulmonary nodules, Computer-Aided Diagnosis (CAD) tools provides an assistance to radiologist aiming the improvement in the diagnosis. Extracting relevant image features is of great importance for these tools....
Lungs play an important role in human respiratory system. There are various diseases that effect the functioning of the lungs. Diagnosis and treatment of the disease is most important for proper functioning of human body. The most difficult part is to detect and diagnose the diseases at primary stage. In this paper, a computerized method for lung disease diagnosis is implemented. The lung diseases...
Lung Cancer is a disease of infection in lung due to uncontrolled cell growth which affects its functionality. It is mostly incurable due to that early detection of Lung Cancer is important. Early detection and treatment may help for patient's survival. Normally, diagnosis of lung cancer includes chest X-ray, ECG, Citi scan, MRI etc. In cancer diagnosis Artificial Neural Network and Fuzzy Min-Max...
Lung cancer is one among the major causes of cancer related deaths. Fortunately, an early stage diagnosis can increase the survival rates of the patients. Sputum cytology is one of the easiest and cost-effective method for lung cancer diagnosis. Chances of misdiagnosis and sampling error related to sputum cytology led to the concept of malignancy associated changes. Malignancy associated changes (MAC)...
Lung cancer leads to increased mortality rate. This paper is focused on the motive to identify the mass tissue in the lung by using the chest X-Ray image and by using the simple image processing and enhancement technique, image segmentation, DWT based Template matching after image extraction. The proposed method can be implemented with ease. The chest X-Ray image real data from the hospital is being...
Liquid biopsies may overcome limitations of traditional tissue biopsies. Circulating tumor cells (CTCs), tumor cells that are shed from primary tumor and circulate in peripheral blood, can be useful as a surrogate of micro-metastasis. Cell-based liquid biopsies to detect CTCs have a variety of advantages over cell-free liquid biopsies. However, isolation and detection of rare CTCs contaminated among...
Recently, lung cancer has attracted a great deal of interest due to its commonness and deathly nature. By the development of technology, medical imaging methods play important role in both diagnosis and treatment of this cancer. Lung tumor segmentation in CT images is of high importance in many areas like cancer treatment. One of the common methods for segmenting images, used in this article, is image...
In this paper, singular value decomposition is applied to detect the co-clusters in mutant-atom matrix data of solid angle. A set of significant patterns are found in the given matrix data with coherent solid angle values on both mutants and atoms. These patterns could provide clues about the main mechanism associated with drug resistance. In one pattern, all the mutants have the same response level...
Chest Radiograph is the preliminary requirement for the identification of lung diseases. Tuberculosis; pneumonia and lung cancer these lung diseases are major health threat. According to recent survey; which was given by WHO; rate of people dying due to late diagnosis of lung diseases is in millions. Early diagnosis of these diseases can curb mortality rate. This paper proposes lung segmentation;...
Lung cancer is the leading cause of cancer death in the United States. It usually exhibits its presence with the formation of pulmonary nodules. Nodules are round or oval-shaped growth present in the lung. Computed Tomography (CT) scans are used by radiologists to detect such nodules. Computer Aided Detection (CAD) of such nodules would aid in providing a second opinion to the radiologists and would...
Nodule detection in chest radiographs is a main component of current Computer Aided Diagnosis (CAD) systems. The problem is usually approached as a supervised classification task of candidate nodule segments. To this end, a discriminative model is learnt from predefined set of features. A key concern with this approach is the fact that some normal tissues are also imaged and these regions can overlap...
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